ICASSP 2005
Session Index

Speech Processing

SP-L1: Voice Morphing

SP-L2: Spoken Language Understanding and Dialog

SP-L3: Speech Perception and Psychacoustics

SP-L4: Confidence Measures and Rejection Algorithms

SP-L5: Discriminative Training

SP-L6: Quantization and Quality Measurement

SP-L7: Speech Enhancement with Noise Reduction

SP-L8: Speaker Recognition using Acoustic and Higher Level Features

SP-L9: Large Vocabulary ASR

SP-L10: Novel Methods for Speech Analysis

SP-L11: Noise Robust Speech Recognition

SP-P1: Prosody and Speech Synthesis

SP-P2: General Topics in ASR

SP-P3: Speech Analysis and Synthesis

SP-P4: Model-based Robust Speech Recognition

SP-P5: Speech Mining and Audio-Visual Information Processing

SP-P6: Feature-based Robust Speech Recognition

SP-P7: Language Modeling and Identification

SP-P8: Text-Independent Speaker Recognition

SP-P9: Acoustic Modeling and Clustering Algorithms

SP-P10: Topics in Speaker Recognition

SP-P11: Topics in Speech Coding and Enhancement

SP-P12: Large Vocabulary ASR

SP-P13: Speech Analysis and Production

SP-P14: Feature Extraction and Modeling

SP-P15: Adaptation and Normalization

SP-P16: Topics in Speech Processing and Systems

SP-P17: Topics in Speech Enhancement, Separation and Dereverberation

Image and Multidimensional Signal Processing

IMDSP-L1: Watermarking

IMDSP-L2: Denoising

IMDSP-L3: Video Coding

IMDSP-L4: Biometrics I

IMDSP-L5: Restoration and Segmentation

IMDSP-L6: Biomedical Imaging

IMDSP-L7: Image and Video Indexing and Retrieval

IMDSP-L8: Video Coding and Transmission

IMDSP-L9: Image Coding

IMDSP-L10: Video Segmentation and Tracking

IMDSP-L11: Image Feature Extraction and Analysis

IMDSP-P1: Video Coding and Transmission

IMDSP-P2: Video Coding

IMDSP-P3: Image coding

IMDSP-P4: Image and Video Indexing and Retrieval

IMDSP-P5: Biomedical Imaging

IMDSP-P6: Image/Video Storage, Retrieval and Authentication

IMDSP-P7: Image Formation - Image Representation and Quality Assessment

IMDSP-P8: Image Restoration and Enhancement

IMDSP-P9: Video Segmentation and Tracking

IMDSP-P10: Image Segmentation

IMDSP-P11: Feature Extraction and Analysis

IMDSP-P12: Authentication and Watermarking

IMDSP-P13: Image and Video Processing

IMDSP-P14: Motion Detection and Estimation

IMDSP-P15: Biometrics II

IMDSP-P16: Image Filtering and Modeling

Multimedia Signal Processing

MSP-L1: Multimedia Security and Content Protection

MSP-L2: Conent Based Information Retrieval and Pattern Discovery

MSP-P1: Multimedia Signal Processing I

MSP-P2: Multimedia Signal Processing II

Audio and Electroacoustics

AE-L1: Applications to Music

AE-L2: Auditory Modeling and Hearing Aids

AE-P1: Loudspeaker and Microphone Array Signal Processing

AE-P2: Echo Cancellation, Active Noise Control, and Transducers

AE-P3: Broadband and Perceptual Coding

AE-P4: Applications to Music

AE-P5: Spatial and Multichannel Audio, Audio for Multimedia

Signal Processing for Communication

SPCOM-L1: Ultra Wideband Communication I

SPCOM-L2: DSL Communication

SPCOM-L3: Co-operative Relays

SPCOM-L4: MIMO Capacity and Performance

SPCOM-L5: MIMO Precoding and Transmit Design

SPCOM-L6: MIMO Channel Estimation and Decoding

SPCOM-L7: Channel Estimation and Equalization

SPCOM-L8: Turbo Decoding and Iterative Receivers

SPCOM-P1: Wireless Networks: Relaying and Cross-Layer Issues

SPCOM-P2: (Semi)blind Algorithms and ICA

SPCOM-P3: Ultra Wideband Communication II

SPCOM-P4: Sensor Networks III

SPCOM-P5: Turbo Detection and Equalization

SPCOM-P6: Channel Estimation and Modeling

SPCOM-P7: Acquistion, Synchronization and Tracking

SPCOM-P8: Multi-carrier, OFDM, and DMT Communication

SPCOM-P9: CDMA and Spread Spectrum Communication

SPCOM-P10: Applications in Communications

SPCOM-P11: Iterative MIMO Decoding

SPCOM-P12: MIMO Space-time Code Design

SPCOM-P13: MIMO Transceiver Design

Signal Processing Theory and Methods

SPTM-L1: Applications of Particle Filtering

SPTM-L2: Analysis of Adaptive Filtering Algorithms

SPTM-L3: Parameter Estimation - Theory and Methods

SPTM-L4: Nonlinear Systems

SPTM-L5: AR/ARMA System Modeling and Identification

SPTM-L6: Signal Restoration and Reconstruction

SPTM-L7: Nonlinear Filtering

SPTM-L8: Signal Enhancement and Noise Reduction

SPTM-P1: Sampling, Extrapolation and Interpolation

SPTM-P2: System Modeling, Representation and Identification I

SPTM-P3: System Modeling, Representation and Identification II

SPTM-P4: Adaptive Systems and Filtering

SPTM-P5: Stationary Signals and Spectrum Analysis

SPTM-P6: Signal Restoration, Reconstruction and Enhancement

SPTM-P7: Nonstationary Signals and Time Series Analysis

SPTM-P8: Multirate Signal Processing and Wavelets I

SPTM-P9: Multirate Signal Processing and Wavelets II

SPTM-P10: Detection, Estimation, Classification Theory and Applications I

SPTM-P11: Detection, Estimation, Classification Theory and Applications II

Sensor Array and Multichannel Signal Processing

SAM-L1: Sensor Networks I

SAM-L2: MIMO Systems and Space-Time Coding

SAM-L3: Beamforming

SAM-P1: Sensor Networks II

SAM-P2: Space-Time Processing for Communications

SAM-P3: Array Processing

SAM-P4: Signal Detection and Estimation

SAM-P5: Source Localization and Tracking

SAM-P6: Applications of Multichannel Signal Processing

Design and Implementation of Signal Processing Systems

DISPS-L1: JPEG2000 Implementations

DISPS-L2: DSP Implementations for Wireless

DISPS-P1: DSP Implementation I

DISPS-P2: DSP Implementation II

Machine Learning for Signal Processing

MLSP-L1: Blind Source Separation and Independent Component Analysis

MLSP-L2: Pattern Recognition and Classification

MLSP-L3: Bayesian Learning and Modeling

MLSP-L4: Learning Theory

MLSP-P1: Blind Signal Separation and Independent Component Analysis

MLSP-P2: Learning Theory and Classification

MLSP-P3: Bioinformatics and Biomedical Applications

MLSP-P4: Machine Learning Applications

MLSP-P5: Speech and Audio Processing Applications

Signal Processing Education

SPED-P1: Signal Processing Education

ITT-L1: Radar and Sonar Applications

ITT-P1: Biomedical and Biometric Applications

ITT-P2: Signal Processing Applications

Special Sessions

SS-1: Advances in Sparse Signal Representation

SS-2: Signals and Their Processing for Data Storage Systems

SS-3: Statistical Signal Processing in the Post-genomic Era

SS-4: Energy Constrained Signal Processing, Communications, and Networking

SS-5: Large random matrices and perfomance evaluation of large digital communication systems

SS-6: Signal Processing for Molecular Imaging

SS-7: Towards a New Generation of Radio Astronomical Instruments

SS-8: Advances in Waveform Agile Sensor Processing

SS-9: Robust Video Coding

SS-10: Modeling, Indentification, and Control of Large-scale Dynamical Systems

SS-11: Human Language Technology: Applications and Challenge of Speech Processing - Part I

SS-12: Recent Developments in Ultrasound Imaging Technology

SS-13: Human Language Technology: Applications and Challenge of Speech Processing - Part II

SS-14: Applications of Differential Geometry to Signal Processing

SS-15: Statistical Signal Processing in Sensor Networks

SS-16: High-Dimensional Geometry in Signal Processing

SS-17: Distributed Source and Joint Source-channel Coding

SP-L1: Voice Morphing

SP-L1.1: Polyglot Synthesis Using a Mixture of Monolingual Corpora
Javier Latorre, Koji Iwano, Sadaoki Furui, Tokyo Institute of Technology, Japan

SP-L1.2: Introducing Roughness in Individuality Transformation through Jitter Modeling and Modification
Ashish Verma, IBM India Research Labs, India; Arun Kumar, CARE, Indian Institute of Technology Delhi, India

SP-L1.3: Spectral Conversion Based on Maximum Likelihood Estimation Considering Global Variance of Converted Parameter
Tomoki Toda, Nagoya Institute of Technology, Japan; Alan W. Black, Carnegie Mellon University, United States; Keiichi Tokuda, Nagoya Institute of Technology, Japan

SP-L1.4: A Study on Residual Prediction Techniques for Voice Conversion
David Suendermann, Antonio Bonafonte, Universitat Politècnica de Catalunya, Spain; Hermann Ney, RWTH Aachen University, Germany; Harald Hoege, Siemens AG, Germany

SP-L1.5: Voice Forgery Using ALISP: Indexation in a Client Memory (Supplemental Multimedia Files available for this paper)
Patrick Perrot, Guido Aversano, Raphaël Blouet, Maurice Charbit, Gérard Chollet, Ecole Nationale Supérieure des Télécommunications, France

SP-L1.6: An Improved Spectral and Prosodic Transformation Method in STRAIGHT-based Voice Conversion
Long Qin, Gaopeng Chen, Zhenhua Ling, Lirong Dai, University of Science and Technology of China, China

SP-L2: Spoken Language Understanding and Dialog

SP-L2.1: Incorporating Discourse Features into Confidence Scoring of Intention Recognition Results in Spoken Dialogue Systems
Ryuichiro Higashinaka, Katsuhito Sudoh, Mikio Nakano, Nippon Telegraph and Telephone Corporation, Japan

SP-L2.2: Semantic Interpretation With Error Correction
Christian Raymond, Frédéric Béchet, Nathalie Camelin, Renato De Mori, University of Avignon, France; Géraldine Damnati, France Telecom R&D, France

SP-L2.3: Dialog Act Tagging Using Graphical Models
Gang Ji, Jeff Bilmes, University of Washington, Seattle, United States

SP-L2.4: A Clarification Algorithm for Spoken Dialogue Systems
Charles Lewis, Giuseppe Di Fabbrizio, AT&T Labs - Research, United States

SP-L2.5: Model Adaptation For Spoken Language Understanding
Gokhan Tur, AT&T Labs - Research, United States

SP-L2.6: Unsupervised Semantic Intent Discovery from Call Log Acoustics
Xiao Li, University of Washington, United States; Asela Gunawardana, Alex Acero, Microsoft Research, United States

SP-L3: Speech Perception and Psychacoustics

SP-L3.1: Proposal on Objective Speech Quality Assessment for Wideband IP Telephony
Chiharu Morioka, Atsuko Kurashima, Akira Takahashi, NTT Service Integration Laboratories, Japan

SP-L3.2: Neural Cell Type Recognition Between Globus Pallidus Externus and Globus Pallidus Internus By Gaussian Mixture Modeling
Qiang Fu, Mark Clements, Georgia Institute of Technology, United States; Klaus Mewes, Emory University, United States

SP-L3.3: Analysis of Relationship Betweeen Overall Quality and Psychological Factors Affecting High-Quality Speech Communication Services
Hitoshi Aoki, Akira Takahashi, NTT, Japan

SP-L3.4: Can you Understand him? Let's Look at his Word Accuracy - Automatic Evaluation of Tracheoesophageal Speech (Supplemental Multimedia Files available for this paper)
Maria Schuster, Universitätsklinikum Erlangen, Germany; Elmar Noeth, Tino Haderl, Stefan Steidl, Anton Batliner, Universität Erlangen-Nürnberg, Germany; Frank Rosanowski, Universitätsklinikum Erlangen, Germany

SP-L3.5: A Warped Bandwidth Expansion Filter
Marc Boillot, University of Florida / Motorola, United States; John Harris, University of Florida, United States

SP-L3.6: Relative Energy And Intelligibility Of Transient Speech Information (Supplemental Multimedia Files available for this paper)
Sungyub Yoo, J. Robert Boston, John Durrant, Kristie Kovacyk, Stacey Karn, Susan Shaiman, Amro El-Jaroudi, Ching-Chung Li, University of Pittsburgh, United States

SP-L4: Confidence Measures and Rejection Algorithms

SP-L4.1: Rejection Using Rank Statistics Based on HMM State Shortlists
Enrico Bocchieri, Sarangarajan Parthasarathy, AT&T Labs - Research, United States

SP-L4.2: Speaker Adaptive Confidence Scoring Using Bayesian Combining
Tae-Yoon Kim, Hanseok Ko, Korea University, Republic of Korea

SP-L4.3: Improving utterance verification using additional confidence measures in isolated speech recognition interfaces
Graham Greenland, Willy Wong, Hans Kunov, University of Toronto, Canada

SP-L4.4: Generalized Posterior Probability for Minimum Error Verification of Recognized Sentences
Wai Kit Lo, Frank K. Soong, Spoken Language Translation Research Labs, ATR, Japan

SP-L4.5: Robust Speech Recognition by Integrating Speech Separation and Hypothesis Testing
Soundararajan Srinivasan, DeLiang Wang, The Ohio State University, United States

SP-L4.6: Combination of Multiple predictors to Improve Confidence Measure Based on Local Posterior Probabilities
Yuewen Fu, Limin Du, Chinese Academy of Sciences, China

SP-L5: Discriminative Training

SP-L5.1: Adaptation of Precision Matrix Models on Large Vocabulary Continuous Speech Recognition
Khe Chai Sim, Mark J. F. Gales, Cambridge University, United Kingdom

SP-L5.2: Discriminative Training of CDHMMs for Maximum Relative Separation Margin
Chaojun Liu, Hui Jiang, Xinwei Li, York University, Canada

SP-L5.3: Statistical Performance Analysis of MCE/GPD Learning in Gaussian Classifiers and Hidden Markov Models
Mohamed Afify, BBN Technologies, United States; Xin-Wei Li, Hui Jiang, York University, Canada

SP-L5.4: Discriminative Training of Acoustic Models Applied to Domains with Unreliable Transcripts
Lambert Mathias, Johns Hopkins University, United States; Girija Yegnanarayanan, Juergen Fritsch, Multimodal Technologies, Inc., United States

SP-L5.5: Minimum Classification Error for Large Scale Speech Recognition Tasks using Weighted Finite State Transducers
Erik McDermott, Shigeru Katagiri, NTT Corporation, Japan

SP-L5.6: Discriminative Training Based on the Criterion of Least Phone Competing Tokens for Large Vocabulary Speech Recognition
Bo Liu, University of Sci. & Tech. of China, China; Hui Jiang, York University, Canada; Jian-Lai Zhou, Microsoft Reseach Asia, China; Ren-Hua Wang, University of Sci. & Tech. of China, China

SP-L6: Quantization and Quality Measurement

SP-L6.1: Multi-Frame GMM-Based Block Quantisation of Line Spectral Frequencies for Wideband Speech Coding
Stephen So, Kuldip K. Paliwal, Griffith University, Australia

SP-L6.2: Non-Intrusive GMM-Based Speech Quality Measurement
Tiago Falk, Qingfeng Xu, Wai-Yip Chan, Queen's University, Canada

SP-L6.3: A Multiple-Description PCM Speech Coder using Structured Dual Vector Quantizers (Supplemental Multimedia Files available for this paper)
Stephen Voran, Institute for Telecommunication Sciences, United States

SP-L6.4: A New Segment Quantizer for Line Spectral Frequencies Using Lempel-Ziv Algorithm (Supplemental Multimedia Files available for this paper)
Minoru Kohata, Chiba Institute of Technology, Japan; Motoyuki Suzuki, Shozo Makino, Tohoku University, Japan

SP-L6.5: Predictive VQ for Bandwidth Scalable LSP Quantization
Hiroyuki Ehara, Toshiyuki Morii, Masahiro Oshikiri, Koji Yoshida, Matsushita Electric Industrial Co., Ltd., Japan

SP-L6.6: Coding with Side Information Techniques for LSF Reconstruction in Voice Over IP (Supplemental Multimedia Files available for this paper)
Yannis Agiomyrgiannakis, Foundation of Research and Technology Hellas, Greece; Yannis Stylianou, University of Crete, Greece

SP-L7: Speech Enhancement with Noise Reduction

SP-L7.1: Signal Subspace Speech Enhancement for Audible Noise Reduction
Changhuai You, Soo Ngee Koh, Nanyang Technological University, Singapore; Susanto Rahardja, Institute for Infocomm Research, Singapore

SP-L7.2: A Wavelet Kalman Filter with Perceptual Masking for Speech Enhancement in Colored Noise (Supplemental Multimedia Files available for this paper)
Ning Ma, Martin Bouchard, University of Ottawa, Canada; Rafik A. Goubran, Carleton University, Canada

SP-L7.3: Adaptive Time Segmentation of Noisy Speech for Improved Speech Enhancement
Richard Christian Hendriks, Richard Heusdens, Jesper Jensen, Delft University of Technology, Netherlands

SP-L7.4: Speech Enhancement Using Harmonic Regeneration
Cyril Plapous, Claude Marro, France Télécom, France; Pascal Scalart, ENSSAT, France

SP-L7.5: Instant Noise Estimation Using Fourier Transform of AMDF and Variable Start Minima Search
Zhong Lin, Rafik A. Goubran, Carleton University, Canada

SP-L7.6: Speech Enhancement Based on Speech Spectral Complex Gaussian Mixture Model
Guo-Hong Ding, Xia Wang, Yang Cao, Feng Ding, Yuezhong Tang, Nokia Research Center, Beijing, China

SP-L8: Speaker Recognition using Acoustic and Higher Level Features

SP-L8.1: Improved Phonetic Speaker Recognition Using Lattice Decoding
Andrew Hatch, Barbara Peskin, International Computer Science Institute, United States; Andreas Stolcke, SRI International, United States

SP-L8.2: SRI's 2004 NIST Speaker Recognition Evaluation System
Sachin Kajarekar, Luciana Ferrer, Elizabeth Shriberg, Kemal Sonmez, Andreas Stolcke, Anand Venkataraman, Jing Zheng, SRI International, United States

SP-L8.3: The 2004 MIT Lincoln Laboratory Speaker Recognition System
Douglas Reynolds, William Campbell, Terry Gleason, Carl Quillen, Douglas Sturim, Pedro Torres-Carrasquillo, MIT Lincoln Laboratory, United States; Andre Adami, Oregon Health & Science University, United States

SP-L8.4: Speaker Verification Using Adapted Articulatory Feature-based Conditional Pronunciation Modeling
Ka-Yee Leung, Man-Wai Mak, Hong Kong Polytechnic University, Hong Kong SAR of China; Manhung Siu, Hong Kong University of Science and Technology, Hong Kong SAR of China; Sun-Yuan Kung, Princeton University, United States

SP-L8.5: Prosody Modeling and Eigen-Prosody Analysis for Robust Speaker Recognition
Zi-He Chen, National Central University, Taiwan; Yuan-Fu Liao, National Taipei University of Technology, Taiwan; Yau-Tarng Juang, National Central University, Taiwan

SP-L8.6: Prosodic Modeling for Speaker Recognition Based on Sub-Band Energy Temporal Trajectories
André Adami, University of Caxias do Sul, Brazil

SP-L9: Large Vocabulary ASR

SP-L9.1: Sub-phonetic Polynomial Segment Model for Large Vocabulary Continuous Speech Recognition
Siu-Kei Au Yeung, Chak-Fai Li, Man-Hung Siu, Hong Kong University of Science and Technology, Hong Kong SAR of China

SP-L9.2: Contructing Ensembles of ASR Systems Using Randomized Decision Trees
Olivier Siohan, Bhuvana Ramabhadran, Brian Kingsbury, IBM T. J. Watson Research Center, United States

SP-L9.3: Efficient Generation of high-order context-dependent Weighted Finite State Transducers for Speech Recognition
Mike Schuster, Takaaki Hori, NTT Corporation, Japan

SP-L9.4: The IBM 2004 Conversational Telephony System for Rich Transcription
Hagen Soltau, Brian Kingsbury, Lidia Mangu, Daniel Povey, George Saon, Geoffrey Zweig, IBM, United States

SP-L9.5: Training LVCSR Systems on Thousands of Hours of Data
Gunnar Evermann, Ho Yin Chan, Mark J. F. Gales, Bin Jia, David Mrva, Phil Woodland, Kai Yu, Cambridge University, United Kingdom

SP-L9.6: Landmark-Based Speech Recognition: Report of the 2004 Johns Hopkins Summer Workshop
Mark Hasegawa-Johnson, University of Illinois, United States; James Baker, Carnegie Mellon University, United States; Sarah Borys, University of Illinois, United States; Ken Chen, University of California, San Diego, United States; Emily Coogan, University of Illinois, United States; Steven Greenberg, University of California, Berkeley, United States; Amit Juneja, University of Maryland, United States; Katrin Kirchhoff, University of Washington, United States; Karen Livescu, Massachusetts Institute of Technology, United States; Srividya Mohan, Johns Hopkins University, United States; Jennifer Muller, Department of Defense, United States; Kemal Sonmez, SRI International, United States; Tianyu Wang, Georgia Institute of Technology, United States

SP-L10: Novel Methods for Speech Analysis

SP-L10.1: Speech Analysis by Estimating Perceptually Relevant Pole Locations
Venkatraman Atti, Andreas Spanias, Arizona State University, United States

SP-L10.2: Coherent Envelope Detection for Modulation Filtering of Speech
Steven Schimmel, Les Atlas, University of Washington, United States

SP-L10.3: Speech Signal Analysis with Exponential Autoregressive Model
Kentaro Ishizuka, Hiroko Kato, Tomohiro Nakatani, NTT Corporation, Japan

SP-L10.4: Comparison of Autoregressive Parameter Estimation Algorithms for Speech Processing and Recognition
Robert Morris, Jon Arrowood, Nexidia Inc., United States; Mark Clements, Georgia Institute of Technology, United States

SP-L10.5: An Algorithm for Locating Fundamental Frequency Markers in Speech Signals
Princy Dikshit, Stephen Zahorian, Shivaram Nagulapati, Old Dominion University, United States

SP-L10.6: An Auto-Regressive, Non-Stationary Excited Signal Parameter Estimation Method and an Evaluation of a Singing-Voice Recognition
Akira Sasou, Masataka Goto, Natl. Inst. of Adv. Ind. Sci. & Technology (AIST), Japan; Satoru Hayamizu, Gifu University, Japan; Kazuyo Tanaka, University of Tsukuba, Japan

SP-L11: Noise Robust Speech Recognition

SP-L11.1: Static and Dynamic Spectral Features: Their Noise Robustness and Optimal Weights for ASR
Chen Yang, The Chinese University of Hong Kong, Hong Kong SAR of China; Frank K. Soong, Spoken Language Translation Labs, ATR, Japan; Tan Lee, The Chinese University of Hong Kong, Hong Kong SAR of China

SP-L11.2: Log-Energy Dynamic Range Normalizaton for Robust Speech Recognition
Weizhong Zhu, INRS-EMT, University of Quebec, Canada; Douglas O'Shaughnessy, University of Quebec, Canada

SP-L11.3: A Companding Front End for Noise-Robust Automatic Speech Recognition
Jethran Guinness, Bhiksha Raj, Bent Schmidt-Nielsen, Mitsubishi Electric Research Laboratories, United States; Lorenzo Turicchia, Rahul Sarpeshkar, Massachusetts Institute of Technology, United States

SP-L11.4: Multi-resolution Spectral Entropy Feature for Robust ASR
Hemant Misra, Shajith Ikbal, Sunil Sivadas, Hervé Bourlard, IDIAP Research Institute, Switzerland

SP-L11.5: Particle Filter Based Non-Stationary Noise Tracking for Robust Speech Recognition
Masakiyo Fujimoto, Satoshi Nakamura, ATR Spoken Language Translation Research Labs, Japan

SP-L11.6: Online cepstral filtering using a sequential EM approach with Polyak averaging and feedback
Tor André Myrvoll, Norwegian University of Science and Technology, Norway; Satoshi Nakamura, SLT Laboratory, ATR, Japan

SP-P1: Prosody and Speech Synthesis

SP-P1.1: Improving the Understandability of Speech Synthesis by Modeling Speech in Noise
Brian Langner, Alan W. Black, Carnegie Mellon University, United States

SP-P1.2: An Automatic Prosody Recognizer using a Coupled Multi-Stream Acoustic Model and a Syntactic-Prosodic Language Model
Sankaranarayanan Ananthakrishnan, Shrikanth Narayanan, University of Southern California, United States

SP-P1.3: F0 control characterization by perceptual impressions on speaking attitudes using Multiple Dimensional Scaling analysis
Yoko Kokenawa, Waseda University, Japan; Minoru Tsuzaki, Kyoto City University of Arts, Japan; Hiroaki Kato, ATR Human Information Science Labs, Japan; Yoshinori Sagisaka, Waseda University, Japan

SP-P1.4: Additive Modeling of English F0 Contour for Speech Synthesis
Shinsuke Sakai, Massachusetts Institute of Technology, United States

SP-P1.5: Prosody Analysis and Modeling for Emotional Speech Synthesis
Dan-ning Jiang, Tsinghua University, China; Wei Zhang, Li-qin Shen, IBM China Research Lab, China; Lian-hong Cai, Tsinghua University, China

SP-P1.6: Sliding Window Smoothing For Maximum Entropy Based Intonational Phrase Prediction In Chinese
Jian-Feng Li, Guo-Ping Hu, Ren-Hua Wang, Li-Rong Dai, University of Science and Technology of China, China

SP-P1.7: Identification and Synthesis of Cantonese Tones Based on the Command-Response Model for F0 Contour Generation
Wentao Gu, Shanghai Jiaotong University, China; Keikichi Hirose, Hiroya Fujisaki, University of Tokyo, Japan

SP-P1.8: Compression of Exception Lexicons for Small Footprint Grapheme-To-Phoneme Conversion
Joram Meron, Peter Veprek, Panasonic Digital Networking Lab, United States

SP-P1.9: Prediction of Pronunciation Variations for Speech Synthesis: A Data-Driven Approach
Christina Bennett, Alan W. Black, Carnegie Mellon University, United States

SP-P1.10: Recording Script Design for Corpus-Based TTS System Based on Coverage of Various Phonetic Elements
Mitsuaki Isogai, Hideyuki Mizuno, Kazunori Mano, NTT Cyber Space Laboratories, NTT Corporation, Japan

SP-P1.11: Optimal Subset Selection from Text Databases
Jilei Tian, Jani Nurminen, Imre Kiss, Nokia Research Center, Finland

SP-P1.12: Comparative study of Automatic Phone Segmentation methods for TTS
Jordi Adell, Antonio Bonafonte, Universitat Politècnica de Catalunya, Spain; Jon Ander Gómez, María José Castro, Universitat Politècnica de València, Spain

SP-P2: General Topics in ASR

SP-P2.1: Increased Robustness Against Bit Errors for Distributed Speech Recognition in Wireless Environments
Brian Delaney, Georgia Institute of Technology, United States

SP-P2.2: “Of All Things the Measure Is Man”: Automatic Classification of Emotions and Inter-Labeler Consistency (Supplemental Multimedia Files available for this paper)
Stefan Steidl, Michael Levit, Anton Batliner, Elmar Nöth, Heinrich Niemann, University of Erlangen, Germany

SP-P2.3: Disordered Speech Evaluation Using Objective Quality Measures
Lingyun Gu, John Harris, Rahul Shrivastav, Christine Sapienza, University of Florida, United States

SP-P2.4: Meta-Classifiers in Acoustic and Linguistic Feature Fusion-Based Affect Recognition
Björn Schuller, Raquel Jiménez Villar, Gerhard Rigoll, Manfred Lang, Technische Universität München, Germany

SP-P2.5: Packet Loss Concealment Based on VQ Replicas and MMSE Estimation Applied to Distributed Speech Recognition
Antonio M. Peinado, Ángel M. Gómez, Victoria E. Sánchez, José L. Pérez-Córdoba, Antonio J. Rubio, Universidad de Granada, Spain

SP-P2.6: A Comparison of Soft-Feature Distributed Speech Recognition with Candidate Codecs for Speech Enabled Mobile Services
Valentin Ion, Reinhold Haeb-Umbach, University of Paderborn, Germany

SP-P2.7: A Hidden Trajectory Model with Bi-directional Target-Filtering: Cascaded vs. Integrated Implementation for Phonetic Recognition
Li Deng, Xiang Li, Dong Yu, Alex Acero, Microsoft Research, United States

SP-P2.8: A Comparison of Classifiers for Detecting Emotion from Speech
Izhak Shafran, Johns Hopkins University, United States; Mehryar Mohri, New York University, United States

SP-P2.9: Soft Decoding of Temporal Derivatives for Robust Distributed Speech Recognition in Packet Loss
Alastair James, Ben Milner, University of East Anglia, United Kingdom

SP-P2.10: DBN-Based Multi-stream Models for Mandarin Toneme Recognition
Xin Lei, Gang Ji, Tim Ng, Jeff Bilmes, Mari Ostendorf, University of Washington, United States

SP-P2.11: Sparse KPCA for Feature Extraction in Speech Recognition
Amaro Lima, Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura, Nagoya Institute of Technology, Japan; Fernando Gil Resende, Federal University of Rio de Janeiro, Brazil

SP-P2.12: Effects of Phoneme Characteristics on TEO Feature-based Automatic Stress Detection in Speech
Evan Ruzanski, University of Colorado, United States; John H. L. Hansen, University of Colorado, Boulder, United States; James L Meyerhoff, George Saviolakis, Michael Koenig, Walter Reed Army Institute of Research, United States

SP-P3: Speech Analysis and Synthesis

SP-P3.1: Scalable Concatenative Speech Synthesis Based on the Plural Unit Selection and Fusion Method
Masatsune Tamura, Tatsuya Mizutani, Takehiko Kagoshima, Toshiba Corporation, Japan

SP-P3.2: Adaptive Training for Hidden Semi-Markov Model
Junichi Yamagishi, Takao Kobayashi, Tokyo Institute of Technology, Japan

SP-P3.3: Perceptually Weighted Long Term Modeling of Sinusoidal Speech Amplitude Trajectories
Mohammad Firouzmand, Laurent Girin, INPG, France

SP-P3.4: Speech recognition in the blind condition based on multiple directivity patterns using a microphone array
Toshiyuki Sekiya, Tetsunori Kobayashi, Waseda University, Japan

SP-P3.5: An Unsupervised Quantitative Measure for Word Prominence in Spontaneous Speech
Dagen Wang, Shrikanth Narayanan, USC Viterbi School of Engineering, United States

SP-P3.6: Speech Modelling Based On Generalized Gaussian Probability Density Functions
Kostas Kokkinakis, Asoke K. Nandi, University of Liverpool, United Kingdom

SP-P3.7: Bayesian Model Based Non-Intrusive Speech Quality Evaluation
Guo Chen, Vijay Parsa, University of Western Ontario, Canada

SP-P3.8: Robust Pitch Estimation At Very Low SNR Exploiting Time and Frequency Domain Cues
Celia Shahnaz, Wei-Ping Zhu, M. Omair Ahmad, Concordia University, Canada

SP-P3.9: Fundamental Frequency Estimation and Vocal Tremor Analysis by means of Morlet Wavelet Transforms
Laurence Cnockaert, Francis Grenez, Jean Schoentgen, Université Libre de Bruxelles, Belgium

SP-P3.10: Automatic Speech Segmentation Using Average Level Crossing Rate Information
Anindya Sarkar, T. V. Sreenivas, Indian Institute of Science, India

SP-P3.11: DWT-Based Phonetic Groups Classification Using Neural Networks
Van Tuan Pham, Gernot Kubin, University of Technology, Graz, Austria

SP-P3.12: A Novel KLT Algorithm Optimized for Small Signal Sets
Francesco Gianfelici, Giorgio Biagetti, Paolo Crippa, Claudio Turchetti, Università Politecnica delle Marche, Italy

SP-P3.13: Voicing-State Classification of Co-Channel Speech Using Nonlinear State-Space Reconstruction
Yasser Mahgoub, Richard Dansereau, Carleton University, Canada

SP-P3.14: Speech Rate Estimation via Temporal Correlation and Selected Sub-Band Correlation
Shrikanth Narayanan, Dagen Wang, USC Viterbi School of Engineering, United States

SP-P4: Model-based Robust Speech Recognition

SP-P4.1: Closely Coupled Array Processing and Model-Based Compensation for Microphone Array Speech Recognition
Xianyu Zhao, Zhijian Ou, Minhua Chen, Zuoying Wang, Tsinghua University, China

SP-P4.2: Context-Dependent Duration Modeling
Daniel Willett, Temic Speech Dialog Systems, Germany

SP-P4.3: Recognising Speech in the Presence of a Competing Speaker using a `Speech Fragment Decoder'
André Coy, Jon Barker, University of Sheffield, United Kingdom

SP-P4.4: An Environment Compensated Maximum Likelihood Training Approach Based on Stochastic Vector Mapping
Jian Wu, Microsoft Corp., United States; Qiang Huo, Donglai Zhu, University of Hong Kong, Hong Kong SAR of China

SP-P4.5: Effect of Phase-Sensitive Environment Model and Higher Order VTS on Noisy Speech Feature Enhancement
Veronique Stouten, Hugo Van hamme, Patrick Wambacq, Katholieke Universiteit Leuven, Belgium

SP-P4.6: Towards Speech Recognition Oriented Dereverberation
Pamornpol Jinachitra, Stanford University, United States; Ramon Prieto, Toyota InfoTechnology Center U.S.A., United States

SP-P4.7: Noisy Speech Recognition Based on Robust End-point Detection and Model Adaptation
Zhipeng Zhang, NTT DoCoMo, Japan; Sadaoki Furui, Tokyo Institute of Technology, Japan

SP-P4.8: Analysis of a large in-car speech corpus and its application to the multimodel ASR
Hiroshi Fujimura, Chiyomi Miyajima, Katsunobu Itou, Kazuya Takeda, Nagoya University, Japan; Fumitada Itakura, Meijo University, Japan

SP-P4.9: Building an Effective Corpus By Using Acoustic Space Visualization (COSMOS) Method
Goshu Nagino, Makoto Shozakai, Asahi Kasei Corporation, Japan

SP-P4.10: HMM/ANN Based Spectral Peak Location Estimation for Noise Robust Speech Recognition
Shajith Ikbal, Hervé Bourlard, Mathew Magimai.-Doss, IDIAP Research Institute, Switzerland

SP-P4.11: Acoustic Feature Combination for Robust Speech Recognition
András Zolnay, Ralf Schlueter, Hermann Ney, RWTH-Aachen Germany, Germany

SP-P4.12: Acoustic Training from Heterogeneous Data Sources: Experiments in Mandarin Conversational Telephone Speech Transcription
Stavros Tsakalidis, Johns Hopkins University, United States; William Byrne, Cambridge University, United Kingdom

SP-P5: Speech Mining and Audio-Visual Information Processing

SP-P5.1: Dynamic Match Phone-Lattice Searches For Very Fast And Accurate Unrestricted Vocabulary Keyword Spotting
Kishan Thambiratnam, Sridha Sridharan, Queensland University of Technology, Australia

SP-P5.2: A Stream-Weight Optimization Method for Multi-Stream HMMS Based on Likelihood Value Normalization
Satoshi Tamura, Koji Iwano, Sadaoki Furui, Tokyo Institute of Technology, Japan

SP-P5.3: Lip Reading for Robust Speech Recognition on Embedded Devices
Jesús Fernando Guitarte Pérez, Siemens AG, Corporate Technology, Germany; Alejandro F. Frangi, Pompeu Fabra University, Spain; Eduardo Lleida Solano, University of Zaragoza, Spain; Klaus Lukas, Siemens AG, Corporate Technology, Spain

SP-P5.4: Novel Techniques For Time-Compressing Speech: An Exploratory Study (Supplemental Multimedia Files available for this paper)
Simon Tucker, Steve Whittaker, University of Sheffield, United Kingdom

SP-P5.5: Fast Two-Stage Vocabulary-Independent Search In Spontaneous Speech
Peng Yu, Frank Seide, Microsoft Research Asia, China

SP-P5.6: An HMM-based Text Segmentation Method Using Variational Bayes Approach and Its Application to LVCSR for Broadcast News
Takafumi Koshinaka, Ken-ichi Iso, Akitoshi Okumura, NEC Corporation, Japan

SP-P5.7: Detecting Group Interest-Level in Meetings
Daniel Gatica-Perez, Iain McCowan, Dong Zhang, Samy Bengio, IDIAP Research Institute, Switzerland

SP-P5.8: Semantic Data Mining of Short Utterances
Lee Begeja, AT&T Labs - Research, United States; Harris Drucker, Monmouth University, United States; David Gibbon, Patrick Haffner, Zhu Liu, Bernard Renger, Behzad Shahraray, AT&T Labs - Research, United States

SP-P5.9: Automatic Processing of Audio Lectures for Information Retrieval: Vocabulary Selection and Language Modeling
Alex Park, Timothy Hazen, James Glass, MIT CSAIL, United States

SP-P5.10: Blind Change Detection for Audio Segmentation
Mohamed Omar, Upendra Chaudhari, Ganesh Ramaswamy, IBM, United States

SP-P5.11: Combining Multiple Subword Representations for Open-Vocabulary Spoken Document Retrieval
Shi-wook Lee, National Institute of AIST, Japan; Kazuyo Tanaka, University of Tsukuba, Japan; Yoshiaki Itoh, Iwate Prefectural University, Japan

SP-P5.12: Robust Lip-Motion Features For Speaker Identification
Hasan Ertan Cetingül, Yucel Yemez, Engin Erzin, A. Murat Tekalp, Koc University, Turkey

SP-P6: Feature-based Robust Speech Recognition

SP-P6.1: Variational Bayesian Feature Saliency for Audio Type Classification
Fabio Valente, Christian Wellekens, Eurecom Institute, France

SP-P6.2: Pitch-Synchronous ZCPA (PS-ZCPA)-Based Feature Extraction with Auditory Masking
Muhammad Ghulam, Takashi Fukuda, Junsei Horikawa, Tsuneo Nitta, Toyohashi University of Technology, Japan

SP-P6.3: MFCC Compensation for Improved Recognition of Filtered and Band-Limited Speech
Nicolás Morales, Universidad Autónoma de Madrid, Spain; John H. L. Hansen, University of Colorado, Boulder, United States; Doroteo T. Toledano, Universidad Autónoma de Madrid, Spain

SP-P6.4: Speech Feature Smoothing for Robust ASR
Chia-Ping Chen, Jeff Bilmes, University of Washington, United States; Daniel Ellis, Columbia University, United States

SP-P6.5: On desensitizing the Mel-Cepstrum to spurious spectral components for Robust Speech Recognition
Vivek Tyagi, Christian Wellekens, Institute Eurecom, France

SP-P6.6: Two-stage Noise Spectra Estimation and Regression based In-car Speech Recognition using Single Distant Microphone
Weifeng Li, Katunobu Itou, Kazuya Takeda, Nagoya University, Japan; Fumitada Itakura, Meijo University, Japan

SP-P6.7: Mask Estimation Based on Sound Localisation for Missing Data Speech Recognition
Sue Harding, Jon Barker, Guy J. Brown, University of Sheffield, United Kingdom

SP-P6.8: Speech Processing Using Joint Features Derived from the Modified Group Delay Function
Rajesh Hegde, Hema Murthy, Indian Institute of Technology, India; Gadde V. Ramana Rao, SRI International, United States

SP-P6.9: Influence of Autocorrelation Lag Ranges on Robust Speech Recognition
Benjamin J. Shannon, Kuldip K. Paliwal, Griffith University, Australia

SP-P6.10: Subspace-based Speaker-independent Vowel Recognition
R. Muralishankar, Douglas O'Shaughnessy, University of Quebec, Canada

SP-P6.11: Robust Speech Recognition Based on Spectral Adjusting and Warping
Rui Zhao, Zuoying Wang, Tsinghua University, China

SP-P6.12: Robust Speech Activity Detection Using LDA Applied to FF Parameters
Jaume Padrell, Dušan Macho, Climent Nadeu, Universitat Politècnica de Catalunya, Spain

SP-P7: Language Modeling and Identification

SP-P7.1: Joint Discriminative Language Modeling and Utterance Classification
Murat Saraclar, AT&T Labs - Research, United States; Brian Roark, OGI at Oregon Health & Science University, United States

SP-P7.2: Language Model Estimation for Optimizing End-to-end Performance of a Natural Language Call Routing System
Vaibhava Goel, IBM, United States; Hong-Kwang (Jeff) Kuo, IBM T. J. Watson Research Center, United States; Sabine Deligne, Cheng Wu, IBM, United States

SP-P7.3: Language Identification Using Phonetic and Prosodic HMMs with Feature Normalization
Yasunari Obuchi, Nobuo Sato, Hitachi Ltd., Japan

SP-P7.4: Rapid Language Model Development Using External Resources for New Spoken Dialog Domains
Ruhi Sarikaya, IBM T. J. Watson Research Center, United States; Agustin Gravano, Columbia University, United States; Yuqing Gao, IBM T. J. Watson Research Center, United States

SP-P7.5: Using Local & Global Phonotactic Features in Chinese Dialect Identification
Boon Pang Lim, Haizhou Li, Bin Ma, Institute for Infocomm Research, Singapore

SP-P7.6: Random Clusterings for Language Modeling
Ahmad Emami, Frederick Jelinek, Johns Hopkins University, United States

SP-P7.7: Dialect/Accent Classification via Boosted Word Modeling
Rongqing Huang, University of Colorado at Boulder, United States; John H. L. Hansen, University of Colorado, Boulder, United States

SP-P7.8: Web-Data Augmented Language Models for Mandarin Conversational Speech Recognition
Tim Ng, Mari Ostendorf, Mei-Yuh Hwang, University of Washington, United States; Manhung Siu, Hong Kong University of Science and Technology, Hong Kong SAR of China; Ivan Bulyko, Xin Lei, University of Washington, United States

SP-P7.9: An Efficient Algorithm for Clustering Short Spoken Utterances
Zhu Liu, AT&T Labs - Research, United States

SP-P7.10: Maximum Entropy Based Generic Filter for Language Model Adaptation
Dong Yu, Milind Mahajan, Peter Mau, Alex Acero, Microsoft Research, United States

SP-P7.11: Language Identification Using Pitch Contour Information
Chi-Yueh Lin, Hsiao-Chuan Wang, National Tsing Hua University, Taiwan

SP-P7.12: Integrating Multiple Layers of Concept Information into N-gram Modeling for Spoken Language Understanding
Nick J.-C. Wang, Delta Electronics, Inc., Taiwan

SP-P7.13: Automatic Language Identification Using Ergodic HMM
S. A. SantoshKumar, V. Ramasubramanian, Indian Institute of Science, India

SP-P8: Text-Independent Speaker Recognition

SP-P8.1: Discriminative Power of Transient Frames in Speaker Recognition
Jérôme Louradour, Khalid Daoudi, Régine André-Obrecht, IRIT - Université Paul Sabatier, France

SP-P8.2: Speaker Identification in Unknown Noisy Conditions - A Universal Compensation Approach
Ji Ming, Darryl Stewart, Queen's University Belfast, United Kingdom; Saeed Vaseghi, Brunel University, United Kingdom

SP-P8.3: Extracting Additional Information from Gaussian Mixture Model Probabilities for Improved Text-Independent Speaker Identification
Balakrishnan Narayanaswamy, Carnegie Mellon University, United States; Rashmi Gangadharaiah, Indian Institute of Science, India

SP-P8.4: Combining Selection Tree with Observation Reordering Pruning for Efficient Speaker Identification Using GMM-UBM
Zhenyu Xiong, Thomas Zheng, Tsinghua University, China; Zhanjiang Song, Beijing d-Ear Technologies Co., Ltd., China; Wenhu Wu, Tsinghua University, China

SP-P8.5: Advances In Channel Compensation For SVM Speaker Recognition
Alex Solomonoff, William Campbell, Ian Boardman, MIT Lincoln Laboratory, United States

SP-P8.6: Improved Speaker Model Migration Via Stochastic Synthesis
Jirí Navrátil, Ganesh Ramaswamy, IBM T. J. Watson Research Center, United States

SP-P8.7: Factor Analysis Simplified
Patrick Kenny, Gilles Boulianne, Pierre Ouellet, Pierre Dumouchel, CRIM, Canada

SP-P8.8: Minimum Classification Error Interactive Training for Speaker Identification
Yusuke Kida, Kyoto University, Japan; Hiroyoshi Yamamoto, Nagoya Institute of Technology, Japan; Chiyomi Miyajima, Nagoya University, Japan; Keiichi Tokuda, Tadashi Kitamura, Nagoya Institute of Technology, Japan

SP-P8.9: A New Common Component GMM-Based Speaker Recognition Method
Yih-Ru Wang, Chen-Yu Chiang, National Chiao Tung University, Taiwan

SP-P8.10: Gmm-Based Bhattacharyya Kernel Fisher Discriminant Analysis For Speaker Recognition
Yi-Hsiang Chao, Hsin-Min Wang, Ruei-Chuan Chang, Academia Sinica, Taiwan

SP-P8.11: A Study of the Relative Importance of Temporal Characteristics in Text-Dependent and Text-Constrained Speaker Verification
James Nealand, RMIT, Australia; Jason Pelecanos, Ran Zilca, Ganesh Ramaswamy, IBM T. J. Watson Research Center, United States

SP-P8.12: Noise Robust Speaker Verification Using Mel-Frequency Discrete Wavelet Coefficients and Parallel Model Compensation
Zekeriya Tufekci, Izmir Institute of Technology, Turkey; Sabri Gurbuz, Harran University, Turkey

SP-P9: Acoustic Modeling and Clustering Algorithms

SP-P9.1: Initializing Subspace Constrained Gaussian Mixture Models
Peder Olsen, Karthik Visweswariah, Ramesh Gopinath, IBM, United States

SP-P9.2: Multi-Rate and Variable-Rate Modeling of Speech At Phone and Syllable Time Scales
Özgür Cetin, Mari Ostendorf, University of Washington, United States

SP-P9.3: Optimal Clustering and Non-Uniform Allocation of Gaussian Kernels in Scalar Dimension for HMM Compression
Xiao-Bing Li, Frank K. Soong, ATR Spoken Language Translation Research Labs, Japan; Tor André Myrvoll, Norwegian University of Science and Technology, Norway; Ren-Hua Wang, University of Science and Technology of China, China

SP-P9.4: Hierarchical Correlation Compensation For Hidden Markov Models
Hui Lin, Tsinghua University, China; Ye Tian, JianLai Zhou, Microsoft Research Asia, China; Hui Jiang, York University, Canada

SP-P9.5: Cluster-Dependent Acoustic Modeling
Bing Xiang, Long Nguyen, Spyros Matsoukas, Richard Schwartz, BBN Technologies, United States

SP-P9.6: Fuzzy Parameter Clustering Method in Speech Recognition
Xianghua Xu, Jie Zhu, Shanghai Jiaotong University, China

SP-P9.7: Automatic Training Set Segmentation for Multi-pass Speech Recognition
Mark Mao, Stanford University, United States; Vincent Vanhoucke, Brian Strope, Nuance Communications, United States

SP-P9.8: Generalized Statistical Modeling of Pronunciation Variations using Variable-length Phone Context
Yuya Akita, Tatsuya Kawahara, Kyoto University, Japan

SP-P9.9: On Initialization of Gaussian Mixtures: A Hybrid Genetic EM Algorithm
Franz Pernkopf, Graz University of Technology, Austria

SP-P9.10: Acoustic Model Training Using Greedy EM
Rusheng Hu, Xiaolong Li, Yunxin Zhao, University of Missouri-Columbia, United States

SP-P9.11: Modeling Successive Frame Dependencies with Hybrid HMM/BN Acoustic Model
Konstantin Markov, Satoshi Nakamura, ATR Spoken Language Translation Research Labs, Japan

SP-P9.12: Improved Covariance Modeling For Maximum Likelihood Multiple Subspace Transformations
Xi Zhou, University of Science and Technology of China, China; Ye Tian, JianLai Zhou, Microsoft Research Asia, China; Bei-qian Dai, University of Science and Technology of China, China

SP-P10: Topics in Speaker Recognition

SP-P10.1: A probabilistic measure of modality reliability in speaker verification
Jonas Richiardi, Plamen Prodanov, Andrzej Drygajlo, Swiss Federal Institute of Technology (EPFL), Switzerland

SP-P10.2: A Correlation Metric for Speaker Tracking Using Anchor Models
Mikaël Collet, Delphine Charlet, France Télécom R&D, France; Frédéric Bimbot, IRISA (CNRS & INRIA), France

SP-P10.3: Estimating and Evaluating Confidence for Forensic Speaker Recognition
William Campbell, Douglas Reynolds, Joseph Campbell, Kevin Brady, MIT Lincoln Laboratory, United States

SP-P10.4: F-ratio Client-Dependent Normalisation for Biometric Authentication Tasks (Supplemental Multimedia Files available for this paper)
Norman Poh, Samy Bengio, IDIAP Research Institute, Switzerland

SP-P10.5: Clustering Speech Utterances by Speaker Using Eigenvoice-Motivated Vector Space Models
Wei-Ho Tsai, Shih-Sian Cheng, Yi-Hsiang Chao, Hsin-Min Wang, Academia Sinica, Taiwan

SP-P10.6: T-Norm for Text-Dependent Commercial Speaker Verification Applications: Effect of Lexical Mismatch
Matthieu Hébert, Daniel Boies, Nuance Communication, Canada

SP-P10.7: A Session-GMM Generative Model Using Test Utterance Gaussian Mixture Modeling for Speaker Verification
Hagai Aronowitz, Bar-Ilan University, Israel; David Burshtein, Tel-Aviv University, Israel; Amihood Amir, Bar-Ilan University, Israel

SP-P10.8: ALIZE, a free toolkit for speaker recognition
Jean-François Bonastre, Frédéric Wils, University of Avignon, France; Sylvain Meignier, University of Maine, France

SP-P10.9: Speaker Adaptive Cohort Selection for Tnorm in Text-Independent Speaker Verification
Douglas Sturim, Douglas Reynolds, MIT Lincoln Laboratory, United States

SP-P10.10: Hybrid Speaker-Based Segmentation System Using Model-Level Clustering
Hyoung-Gook Kim, Daniel Ertelt, Thomas Sikora, Technical University of Berlin, Germany

SP-P10.11: Robustness of Bit-stream Based Features for Speaker Verification
Antonio Moreno-Daniel, Biing-Hwang (Fred) Juang, Georgia Institute of Technology, United States; Juan Arturo Nolazco-Flores, Instituto Tecnologico de Monterrey (ITESM), Mexico

SP-P10.12: Two-Way Cluster Voting to Improve Speaker Diarisation Performance
Sue Tranter, Cambridge University, United Kingdom

SP-P10.13: Speaker Detection Without Models
Daniel Gillick, Stephen Stafford, Barbara Peskin, Berkeley, United States

SP-P11: Topics in Speech Coding and Enhancement

SP-P11.1: Improving the 2.4 Kb/s Military Standard MELP (MS-MELP) Coder Using Pitch-Synchronous Analysis and Synthesis Techniques
Ali Erdem Ertan, Thomas P. Barnwell III, Georgia Institute of Technology, United States

SP-P11.2: Ultra Low Bit Rate Speech Coding Using an Ergodic Hidden Markov Model
Matthew Lee, Adriane Durey, Elliot Moore, Mark Clements, Georgia Institute of Technology, United States

SP-P11.3: Towards iLBC Speech Coding at Lower Rates Through a New Formulation of the Start State search
Christopher M. Garrido, Manohar N. Murthi, University of Miami, United States; Søren Vang Andersen, Aalborg University, Denmark

SP-P11.4: A Missing-Data Approach to Noise-Robust LPC Extraction for Voiced Speech Using Auxiliary Sensors
Cenk Demiroglu, Thomas P. Barnwell III, Georgia Institute of Technology, United States

SP-P11.5: A Technique of Multi-Tap Long Term Predictor (LTP) Filter Using Sub-Sample Resolution Delay
Mark Jasiuk, Tenkasi Ramabadran, Udar Mittal, James Ashley, Michael McLaughlin, Motorola Labs, United States

SP-P11.6: Voice Activity Detection based on Generalized Gamma Distribution
Jong Won Shin, Seoul National University, Republic of Korea; Joon-Hyuk Chang, University of California, Santa Barbara, United States; Hwan Sik Yun, Nam Soo Kim, Seoul National University, Republic of Korea

SP-P11.7: Increasing the Robustness of CELP-Based Coders By Constrained Optimization
Mohamed Chibani, Philippe Gournay, Roch Lefebvre, University of Sherbrooke, Canada

SP-P11.8: Joint Optimization of Excitation Parameters in Analysis-By-Synthesis Speech Coders Having Multi-Tap Long Term Predictor
Udar Mittal, James Ashley, Edgardo Cruz-Zeno, Mark Jasiuk, Motorola Labs, United States

SP-P11.9: Block-based Bandwidth Extension of Narrowband Speech Signal by using CDHMM
Sheng Yao, Cheung-Fat Chan, City University of Hong Kong, Hong Kong SAR of China

SP-P11.10: Segmentation-Based Speech Enhancement for Intelligibility Improvement in MELP Coders Using Auxiliary Sensors
Cenk Demiroglu, Sunil Kamath, David Anderson, Georgia Institute of Technology, United States

SP-P11.11: Stochastic Integration and Long Term Predictor Estimation under Noisy Conditions for Speech Enhancement (Supplemental Multimedia Files available for this paper)
Marcin Kuropatwinski, Bastiaan Kleijn, KTH (Royal Institute of Technology), Sweden

SP-P11.12: A Robust Narrowband to Wideband Extension System Featuring Enhanced Codebook Mapping (Supplemental Multimedia Files available for this paper)
Takahiro Unno, Texas Instruments, United States; Alan McCree, MIT Lincoln Laboratory, United States

SP-P11.13: Artificial Bandwidth Expansion Method to Improve Intelligibility and Quality of AMR-Coded Narrowband Speech
Laura Laaksonen, Nokia Research Center, Finland; Juho Kontio, Paavo Alku, Helsinki University of Technology, Finland

SP-P11.14: A Soft Decision Based Noise Cross Power Spectral Density Estimation for Two-Microphone Speech Enhancement Systems
Xuefeng Zhang, Ying Jia, Intel China Research Center, China

SP-P12: Large Vocabulary ASR

SP-P12.1: Lattice Segmentation and Support Vector Machines for Large Vocabulary Continuous Speech Recognition
Veera Venkataramani, Johns Hopkins University, United States; William Byrne, Cambridge University, United Kingdom

SP-P12.2: First Steps in Fast Acoustic Modeling for a New Target Language: Application to Vietnamese
Viet-Bac Le, Laurent Besacier, CLIPS / IMAG, France

SP-P12.3: Cross Domain Automatic Transcription on the TC-STAR EPPS Corpus
Christian Gollan, Maximilian Bisani, Stephan Kanthak, Ralf Schlüter, Hermann Ney, RWTH-Aachen Germany, Germany

SP-P12.4: Using Rule-based Knowledge to Improve LVCSR
René Beutler, Tobias Kaufmann, Beat Pfister, ETH, Switzerland

SP-P12.5: Adaptation Strategies for the Acoustic and Language Models in Bilingual Speech Transcription
Javier Dieguez-Tirado, Carmen Garcia-Mateo, Laura Docio-Fernandez, Antonio Cardenal-Lopez, ETSI Telecomunicacion, Spain

SP-P12.6: A Study on Knowledge Source Integration for Candidate Rescoring in Automatic Speech Recognition
Jinyu Li, Yu Tsao, Chin-Hui Lee, Georgia Institute of Technology, United States

SP-P12.7: Development of the CUHTK 2004 Mandarin Conversational Telephone Speech Transcription System
Mark J. F. Gales, Bin Jia, Andrew Liu, Khe Chai Sim, Phil Woodland, Kai Yu, Cambridge University, United Kingdom

SP-P12.8: Bayesian Model Combination (BAYCOM) for Improved Recognition
Ananth Sankar, Nuance Communications, United States

SP-P12.9: Investigation of Acoustic Modeling Techniques for LVCSR Systems
Xunying Liu, Mark J. F. Gales, Khe Chai Sim, Kai Yu, Cambridge University, United Kingdom

SP-P12.10: Improved Confusion Network Algorithm and Shortest Path Search from Word Lattice
Jian Xue, Yunxin Zhao, University of Missouri-Columbia, United States

SP-P12.11: Thai Automatic Speech Recognition
Sinaporn Suebvisai, Paisarn Charoenpornsawat, Alan W. Black, Carnegie Mellon University, United States; Monika Woszczyna, Multimodal Technologies, Inc., United States; Tanja Schultz, Carnegie Mellon University, United States

SP-P12.12: Development of the CU-HTK 2004 Broadcast News Transcription Systems
Do Yeong Kim, Ho Yin Chan, Gunnar Evermann, Mark J. F. Gales, David Mrva, Khe Chai Sim, Phil Woodland, Cambridge University, United Kingdom

SP-P12.13: Cross-language Acoustic Model Refinement for the Indonesian Language
Terrence Martin, Sridha Sridharan, Queensland University of Technology, Australia

SP-P13: Speech Analysis and Production

SP-P13.1: Analysis of Spectral Measures for Voiced Speech with Varying Noise and Pertubation Levels
Eoin O'Leidhin, Peter Murphy, University of Limerick, Ireland

SP-P13.2: Automatic Dysphonia Recognition using Biologically-Inspired Amplitude-Modulation Features
Nicolas Malyska, Thomas Quatieri, Douglas Sturim, MIT Lincoln Laboratory, United States

SP-P13.3: Voiced/Unvoiced Determination of Speech Signal in Noisy Environment using Harmonicity Measure Based on Instantaneous Frequency
Dhany Arifianto, Takao Kobayashi, Tokyo Institute of Technology, Japan

SP-P13.4: SNR and Local Noise Power Estimations Based on Gaussian Mixture Modeling on the Log-Power Domain
Kazuya Takeda, Tran Huy Dat, Hiroshi Fujimura, Fumitada Itakura, Nagoya University, Japan

SP-P13.5: Detection of Symbolic Gestural Events in Articulatory Data for Use in Structural Representations of Continuous Speech
Alexander Gutkin, Simon King, University of Edinburgh, United Kingdom

SP-P13.6: Mathematical Evidence of the Acoustic Universal Structure in Speech
Nobuaki Minematsu, University of Tokyo, Japan

SP-P13.7: Modeling of the Front Cavity and Sublingual Space in American English Rhotic Sounds
Zhaoyan Zhang, Carol Espy-Wilson, University of Maryland, United States; Suzanne Boyce, University of Cincinnati, United States; Mark Tiede, Haskins Laboratories, United States

SP-P13.8: Objective Quality Measures for Glottal Inverse Filtering of Speech Pressure Signals
Tom Bäckström, Matti Airas, Laura Lehto, Paavo Alku, Helsinki University of Technology, Finland

SP-P13.9: Effects of Glottal and Lip Boundary Conditions on Vocal-Tract Area Function Estimates from Speech Signals
Huiqun Deng, Rabab K. Ward, Michael Beddoes, Murray Hodgson, University of British Columbia, Canada

SP-P13.10: Adaptive Filterbanks Inspired By the Auditory System for Speech Feature Extraction
Ramdas Kumaresan, Gopi Krishna Allu, University of Rhode Island, United States; Peter Cariani, Tufts Medical School, United States

SP-P13.11: Multi-Speaker Articulatory Reconstruction Based on an Eigen Articulatory HMM
Sadao Hiroya, Takemi Mochida, NTT Communication Science Laboratories, Japan

SP-P13.12: A Graphical Model for Formant Tracking
Jonathan Malkin, Xiao Li, Jeff Bilmes, University of Washington, United States

SP-P13.13: Dysphonic Speech Analysis Using Generalized Variogram
Abdellah Kacha, Francis Grenez, Jean Schoentgen, Université Libre de Bruxelles, Belgium; Khier Benmahammed, Université de Setif, Algeria

SP-P14: Feature Extraction and Modeling

SP-P14.1: Training Wideband Acoustic Models using Mixed-Bandwidth Training Data via Feature Bandwidth Extension
Michael Seltzer, Alex Acero, Microsoft Research, United States

SP-P14.2: Minimum Phoneme Error Based Heteroscedastic Linear Discriminant Analysis for Speech Recognition
Bing Zhang, Northeastern University, United States; Spyros Matsoukas, BBN Technologies, United States

SP-P14.3: A Study of Auditory Modeling and Processing for Speech Signals
Woojay Jeon, Biing-Hwang (Fred) Juang, Georgia Institute of Technology, United States

SP-P14.4: A Wavelet and Filter Bank Framework For Phonetic Classification
Ghinwa Choueiter, James Glass, Massachusetts Institute of Technology, United States

SP-P14.5: Automatic Syllable Stress Detection Using Prosodic Features for Pronunciation Evaluation of Language Learners
Joseph Tepperman, Shrikanth Narayanan, University of Southern California, United States

SP-P14.6: Predicting Formant Frequencies from MFCC Vectors
Jonathan Darch, Ben Milner, Xu Shao, University of East Anglia, United Kingdom; Saeed Vaseghi, Qin Yan, Brunel University, United Kingdom

SP-P14.7: Tonotopic Multi-Layered Perceptron: A Neural Network for Learning Long-Term Temporal Features for Speech Recognition
Barry Chen, Qifeng Zhu, Nelson Morgan, University of California Berkeley, United States

SP-P14.8: Towards an Intelligent Acoustic Front-End for Automatic Speech Recognition: Built-In Speaker Normalization (BISN)
Umit Yapanel, University of Colorado at Boulder, United States; John H. L. Hansen, University of Colorado, Boulder, United States

SP-P14.9: Quasi-Continuous Local Codebook Features for multilingual Acoustic Phonetic Modelling
Frank Diehl, Asunción Moreno, Universitat Politècnica de Catalunya, Spain

SP-P14.10: GARCH Coefficients as Feature for Speech Recognition in Persian Isolated Digit
Mohamad Abdolahi, Hamidreza Amindavar, Amirkabir University of Technology, Iran (Islamic Republic of)

SP-P14.11: fMPE: Discriminatively Trained Features for Speech Recognition
Daniel Povey, Brian Kingsbury, Lidia Mangu, George Saon, Hagen Soltau, Geoffrey Zweig, IBM, United States

SP-P15: Adaptation and Normalization

SP-P15.1: Variational Bayesian Adaptation for Speaker Clustering
Fabio Valente, Christian Wellekens, Institut Eurecom, France

SP-P15.2: Automatic Disfluency Removal on Recognized Spontaneous Speech - Rapid Adaptation to Speaker Dependent Disfluencies
Matthias Honal, Universität Karlsruhe, Germany; Tanja Schultz, Carnegie Mellon University, United States

SP-P15.3: Aggregate a Posteriori Linear Regression for Speaker Adaptation
Chih-Hsien Huang, Jen-Tzung Chien, National Cheng Kung University, Taiwan

SP-P15.4: Two-Stage Speaker Adaptation of Hybrid Tied-Posterior Acoustic Models
Jan Stadermann, Gerhard Rigoll, Technische Universität München, Germany

SP-P15.5: Various Reference Speakers Determination Methods for Embedded Kernel Eigenvoice Speaker Adaptation
Brian Mak, Simon Ho, Hong Kong University of Science and Technology, Hong Kong SAR of China

SP-P15.6: Kernel Eigenspace-based MLLR Adaptation Using Multiple Regression Classes
Roger Hsiao, Brian Mak, Hong Kong University of Science and Technology, Hong Kong SAR of China

SP-P15.7: Automatically Transcribing Meetings using Distant Microphones
Florian Metze, Christian Fügen, Universität Karlsruhe (TH), Germany; Yue Pan, Waibel Alexander, Carnegie Mellon University, United States

SP-P15.8: A Novel Method for Rapid Speaker Adaptation Based on Support Speaker Weighting
Tie Cai, Jie Zhu, Shanghai Jiaotong University, China

SP-P15.9: Adaptive Training Using Simple Target Models
Georg Stemmer, Fabio Brugnara, Diego Giuliani, ITC-irst, Italy

SP-P15.10: Learning Pronunciation and Formulation Variants in Continuous Speech Applications
Daniele Colibro, Luciano Fissore, Cosmin Popovici, Claudio Vair, Loquendo, Italy; Pietro Laface, Politecnico di Torino, Italy

SP-P15.11: Alternate Phone Models for Conversational Speech
Lori Lamel, Jean-Luc Gauvain, CNRS-LIMSI, France

SP-P15.12: Whispery Speech Recognition using Adapted Articulatory Features
Szu-Chen Jou, Tanja Schultz, Alex Waibel, Carnegie Mellon University, United States

SP-P16: Topics in Speech Processing and Systems

SP-P16.1: Open Vocabulary ASR for Audiovisual Document Indexation
Alexandre Allauzen, Jean-Luc Gauvain, LIMSI-CNRS, France

SP-P16.2: Constrained Phrase-based Translation Using Weighted Finite State Transducer
Bowen Zhou, Stanley Chen, Yuqing Gao, IBM T. J. Watson Research Center, United States

SP-P16.3: Unsupervised Vocabulary Expansion for Automatic Transcription of Broadcast News
Katsutoshi Ohtsuki, Nobuaki Hiroshima, Masahiro Oku, Akihiro Imamura, NTT Corporation, Japan

SP-P16.4: Classification of Structured Descriptions
Srinivas Bangalore, AT&T Labs - Research, United States; Owen Rambow, Columbia University, United States

SP-P16.5: Maximum entropy segmentation of broadcast news
Heidi Christensen, BalaKrishna Kolluru, Yoshihiko Gotoh, University of Sheffield, United Kingdom; Steve Renals, University of Edinburgh, United Kingdom

SP-P16.6: The AT&T WATSON Speech Recognizer
Vincent Goffin, Cyril Allauzen, Enrico Bocchieri, Dilek Hakkani-Tür, Andrej Ljolje, Sarangarajan Parthasarathy, Mazin Rahim, Giuseppe Riccardi, Murat Saraclar, AT&T Labs - Research, United States

SP-P16.7: Open Vocabulary Chinese Name Recognition with the Help of Character Description and Syllable Spelling Recognition
Ching-Ho Tsai, Nick J.-C. Wang, Patrick Huang, Jia-Lin Shen, Delta Electronics, Inc., Taiwan

SP-P16.8: Error Prediction in Spoken Dialog: From Signal-to-Noise Ratio to Semantic Confidence Scores
Dilek Hakkani-Tür, Gokhan Tur, Giuseppe Riccardi, AT&T Labs - Research, United States; Hong Kook Kim, Gwangju Institute of Science and Technology, Republic of Korea

SP-P16.9: Incorporating Dialogue Context and Topic Clustering in Out-of-Domain Detection
Ian Lane, Tatsuya Kawahara, Kyoto University, Japan

SP-P16.10: Structuring Baseball Live Games Based on Speech Recognition Using Task Dependent Knowledge and Emotion State Recognition
Atsushi Sako, Yasuo Ariki, Kobe University, Japan

SP-P16.11: A New ASR Evaluation Measure and Minimum Bayes-Risk Decoding for Open-domain Speech Understanding
Hiroaki Nanjo, Ryukoku University, Japan; Tatsuya Kawahara, Kyoto University, Japan

SP-P16.12: Speech recognition of a named entity
Tatsuhiko Tomita, Waseda University, Japan; Yoshiyuki Okimoto, Matsushita Electric Industrial Co., Ltd., Japan; Hirofumi Yamamoto, ATR Spoken Language Translation Research Labs, Japan; Yoshinori Sagisaka, Waseda University, Japan

SP-P16.13: Automatic Dialog Act Segmentation and Classification in Multiparty Meetings
Jeremy Ang, Yang Liu, Elizabeth Shriberg, International Computer Science Institute, United States

SP-P16.14: Sentence extraction-based presentation summarization techniques and evaluation metrics
Makoto Hirohata, Yousuke Shinnaka, Koji Iwano, Sadaoki Furui, Tokyo Institute of Technology, Japan

SP-P17: Topics in Speech Enhancement, Separation and Dereverberation

SP-P17.1: Blind Dereverberation based on Estimates of Signal Transmission Channels without Precise Information of Channel Order
Takafumi Hikichi, Marc Delcroix, Masato Miyoshi, NTT Corporation, Japan

SP-P17.2: Fast Estimation of a Precise Dereverberation Filter based on Speech Harmonicity
Keisuke Kinoshita, Tomohiro Nakatani, Masato Miyoshi, NTT Corporation, Japan

SP-P17.3: Codebook-Based Bayesian Speech Enhancement
Sriram Srinivasan, Jonas Samuelsson, Bastiaan Kleijn, KTH (Royal Institute of Technology), Sweden

SP-P17.4: Overcoming the Statistical Independence Assumption w.r.t. Frequency in Speech Enhancement (Supplemental Multimedia Files available for this paper)
Tim Fingscheidt, Christophe Beaugeant, Suhadi Suhadi, Siemens AG, COM Mobile Phones, Germany

SP-P17.5: A Two-Stage Algorithm for Enhancement of Reverberant Speech
Mingyang Wu, Fair Isaac Corporation, United States; DeLiang Wang, The Ohio State University, United States

SP-P17.6: Matrix Quantization Based Time-Varying Filter Speech Enhancement
Sharath Rao K, Boston University, United States; Sreenivas Thippur, Indian Institute of Science, India

SP-P17.7: Leakage Model and Teeth Clack Removal for Air- and Bone-Conductive Integrated Microphones
Zicheng Liu, Amar Subramanya, Zhengyou Zhang, Jasha Droppo, Alex Acero, Microsoft Research, United States

SP-P17.8: Speech Enhancement Using a MMSE Short Time Spectral Amplitude Estimator with Laplacian Speech Modeling
Bin Chen, Philipos Loizou, University of Texas, Dallas, United States

SP-P17.9: Separation of Fricatives and Affricates
Guoning Hu, DeLiang Wang, The Ohio State University, United States

SP-P17.10: Speech Enhancement Based on Filtering the Spectrotemporal Modulations
Nima Mesgarani, Shihab Shamma, University of Maryland, United States

SP-P17.11: Improved Kalman Filtering for Speech Enhancement
Volodya Grancharov, Jonas Samuelsson, Bastiaan Kleijn, KTH (Royal Institute of Technology), Sweden

SP-P17.12: Adaptive Decorrelation Filtering Algorithm for Speech Source Separation in Uncorrelated Noises
Rong Hu, Yunxin Zhao, University of Missouri-Columbia, United States

SP-P17.13: An improved estimation of a priori speech absence probability for speech enhancement : in perspective of speech perception
Min Seok Choi, Hong-Goo Kang, Yonsei University, Republic of Korea

SP-P17.14: Speech Enhancement Using a Switching Kalman Filter with a Perceptual Post-Filter
Jianping Deng, Martin Bouchard, Tet H. Yeap, University of Ottawa, Canada

IMDSP-L1: Watermarking

IMDSP-L1.1: Using Perceptual Models to Improve Fidelity and Provide Invariance to Valumetric Scaling for Quantization Index Modulation Watermarking
Qiao Li, Ingemar Cox, University College London, United Kingdom

IMDSP-L1.2: Scalar scheme for Multiple User Information Embedding
Abdellatif Zaidi, Pablo Piantanida, Pierre Duhamel, LSS/CNRS SUPELEC, France

IMDSP-L1.3: Randomized Detection For Spread-Spectrum Watermarking: Defending Against Sensitivity and Other Attacks
Ramarathnam Venkatesan, Mariusz Jakubowski, Microsoft Research, United States

IMDSP-L1.4: Linear Combination Collusion Attack and its Application on an Anti-Collusion Fingerprinting
Yongdong Wu, Institute for Infocomm Research, Singapore

IMDSP-L1.5: Pitch and Duration Modification for Speech Watermarking
Mehmet Celik, Gaurav Sharma, University of Rochester, United States; A. Murat Tekalp, University of Rochester, United States / Koc University, Turkey

IMDSP-L1.6: Morphological Steganalysis of Audio Signals and the Principle of Diminishing Marginal Distortions
Oktay Altun, Gaurav Sharma, Mehmet Celik, Mark Sterling, Edward Titlebaum, Mark Bocko, University of Rochester, United States

IMDSP-L2: Denoising

IMDSP-L2.1: Image Denoising By Non-Local Averaging
Antoni Buades, Bartomeu Coll, Universitat de les Illes Balears, Spain; Jean-Michel Morel, ENS Cachan, France

IMDSP-L2.2: Image Denoising for Signal-Dependent Noise
Keigo Hirakawa, New England Conservatory of Music, United States; Thomas W. Parks, Cornell University, United States

IMDSP-L2.3: Wavelet Domain Partition-Based Image Denoising
Il Ryeol Kim, Kenneth E. Barner, University of Delaware, United States

IMDSP-L2.4: An Improved Image Denoising Algorithm based on Weighted Adaptive Local Bounds
Qi Li, Tania Stathaki, Imperial College London, United Kingdom

IMDSP-L2.5: A Self-Consistent Wavelet Method for Denoising Images with Missing Pixels
Thomas Lee, Colorado State University, United States; Xiao-Li Meng, Harvard University, United States

IMDSP-L2.6: An interscale multivariate statistical model for MAP multicomponent image denoising in the wavelet transform domain
Amor Elmzoughi, Amel Benazza-Benyahia, Ecole Superieure des Communications de Tunis, Tunisia; Jean-Christophe Pesquet, Université de Marne-la-Vallée, France

IMDSP-L3: Video Coding

IMDSP-L3.1: On the Importance of Motion Invertibility in MCTF/DWT Video Coding
Nikola Božinovic, Janusz Konrad, Wei Zhao, Boston University, United States; Carlos Vázquez, Universite du Quebec, Canada

IMDSP-L3.2: Rate-Distortion Modeling for Wavelet Video Coders
Mingshi Wang, Mihaela van der Schaar, University of California, Davis, United States

IMDSP-L3.3: Frame Bit Allocation for H.264 Using Cauchy-Distribution Based Source Modelling
Nejat Kamaci, Yucel Altunbasak, Georgia Institute of Technology, United States

IMDSP-L3.4: Video Coding Using 3-D Dual-Tree Discrete Wavelet Transforms
Beibei Wang, Yao Wang, Ivan Selesnick, Polytechnic University, United States; Anthony Vetro, Mitsubishi Electric Research Laboratories, United States

IMDSP-L3.5: Multiple Description Video Coding Using Motion-Compensated Lifted 3D Wavelet Decomposition
Aditya Mavlankar, Eckehard Steinbach, Munich University of Technology, Germany

IMDSP-L3.6: Adaptive M-Band Hierarchical Filterbank for Compliant Temporal Scalability in H.264 Standard
Cyril Bergeron, Catherine Lamy-Bergot, THALES Land & Joint Systems, France; Béatrice Pesquet-Popescu, ENST, France

IMDSP-L4: Biometrics I

IMDSP-L4.1: Statistical Non-Uniform Sampling of Gabor Wavelet Coefficients for Face Recongnition
Shan Du, Rabab K. Ward, University of British Columbia, Canada

IMDSP-L4.2: Peg-free Human Hand Shape Analysis and Recognition
Wei Xiong, Changsheng Xu, Institute for Infocomm Research, Singapore; Sim Heng Ong, National University of Singapore, Singapore

IMDSP-L4.3: Wavelet Packet Correlation Methods in Biometrics
Jason Thornton, Carnegie Mellon University, United States; Pablo Hennings, Carnegie Mellon University, United States; Jelena Kovacevic, Carnegie Mellon University, United States; Bhagavatula Vijayakumar, Carnegie Mellon University, United States

IMDSP-L4.4: Quaternion Correlation Filters for Face Recognition in Wavelet Domain
Chunyan Xie, Marios Savvides, Bhagavatula Vijayakumar, Carnegie Mellon University, United States

IMDSP-L4.5: A Methodology for Evaluating Robustness of Face Recognition Algorithms with Respect to Variations in Pose Angle and Illumination Angle
Danny Little, Sreekar Krishna, John Black, Sethuraman Panchanathan, Arizona State University, United States

IMDSP-L4.6: Performance analysis of Iris Based identification system at the matching score level
Natalia Schmid, Bojan Cukic, West Virginia University, United States; Manasi Ketkar, West Virginia University, United States; Harshinder Singh, West Virginia University, United States

IMDSP-L5: Restoration and Segmentation

IMDSP-L5.1: A Fast Level Set Method Without Solving PDEs
Yonggang Shi, William Karl, Boston University, United States

IMDSP-L5.2: An Unsupervised Learning Algorithm for Image Segmentation Based On Finite Mixture Models
Linsen Yu, Zhang Tianwen, Harbin Institute of Technology, China

IMDSP-L5.3: Gravitational Transform for Data Clustering - Application to Multicomponent Image Classification
Claude Cariou, Kacem Chehdi, IETR - Lannion, University of Rennes I, France; Arnault Nagle, France Telecom R&D, France

IMDSP-L5.4: Image Compounding Based on Independent Noise Constraint
Yunqiang Chen, Siemens Corporate Research, United States; Hongcheng Wang, University of Illinois, United States; Tong Fang, Jason Tyan, Siemens Corporate Research, United States

IMDSP-L5.5: Blind Image Deconvolution Using Support Vector Regression
Dalong Li, Russell Mersereau, Georgia Institute of Technology, United States; Steven Simske, Hewlett Packard, United States

IMDSP-L5.6: Performance Bounds on Image Registration
Imam Yetik, Arye Nehorai, University of Illinois at Chicago, United States

IMDSP-L6: Biomedical Imaging

IMDSP-L6.1: MRI Image Reconstruction via Homomorphic Signal Processing
Jeffrey Fitzsimmons, Rui Yan, University of Florida, United States; Deniz Erdogmus, OHSU, United States

IMDSP-L6.2: 3D Ultrasound Image Reconstruction from Non-Uniform Resolution Freehand Slices
Wei Huang, Yibin Zheng, Janelle Molloy, University of Virginia, United States

IMDSP-L6.3: Spatiotemporal Segmentation for Validation of Rolling Leukocyte Tracking Data
Nilanjan Ray, Scott Acton, University of Virginia, United States

IMDSP-L6.4: Adaptive Multirate Data Acquisition of 3D Cell Images
Thomas Merryman, Jelena Kovacevic, Elvira Garcia Osuna, Robert Murphy, Carnegie Mellon University, United States

IMDSP-L6.5: Identification of Brain Activity by Fractal Scaling Analysis of Functional MRI Data
Jae-Min Lee, Jing Hu, Jianbo Gao, Keith D. White, Bruce Crosson, Christina Wierenga, Keith McGregor, University of Florida, United States; Kyung K. Peck, Memorial Sloan-Kettering Cancer Center, United States

IMDSP-L6.6: Sampling Strategies to Enable Computationally Efficient SPACE-RIP for 3D Parallel MR Imaging
W. Scott Hoge, Lei Zhao, Brigham and Women's Hospital, United States; Dana H. Brooks, Northeastern University, United States; Walid E. Kyriakos, Brigham and Women's Hospital, United States

IMDSP-L7: Image and Video Indexing and Retrieval

IMDSP-L7.1: Object Recognition by Partial Shape Matching Guided Search
Eli Saber, Rochester Institute of Technology, United States; Yaowu Xu, On2 Technologies, Inc., United States; A. Murat Tekalp, University of Rochester, United States

IMDSP-L7.2: Use of Orthogonal Arrays to Aid Relevance Feedback in Content Based Image Retrieval Systems
Raghavendra Singh, Ravi Kothari, IBM India Research Labs, India

IMDSP-L7.3: Semantic Annotation of Multimedia using Maximum Entropy Models
Janne Argillander, Helsinki University of Technology, Finland; Giridharan Iyengar, Harriet Nock, IBM T. J. Watson Research Center, United States

IMDSP-L7.4: Commercial Detection in Heterogeneous Video Streams Using Fused Multi-Modal and Temporal Features
Masami Mizutani, Shahram Ebadollahi, Shih-Fu Chang, Columbia University, United States

IMDSP-L7.5: Multimodal Meeting Analysis by Segmentation and Classification of Meeting Events based on a Higher Level Semantic Approach
Stephan Reiter, Sascha Schreiber, Gerhard Rigoll, Technische Universität München, Germany

IMDSP-L7.6: 3-D Texture Characterization Based on Wold Decomposition and Higher Order Statistics
Youssef Stitou, Flavius Turcu, Mohamed Najim, ENSEIRB - Université Bordeaux 1, France; Larbi Redouane, Faculté des Sciences D. M - FES, Morocco

IMDSP-L8: Video Coding and Transmission

IMDSP-L8.1: Error Concealment In Video Communications Using DPCM Bit Stream Embedding
Chowdary Adsumilli, Sanjit Mitra, University of California, Santa Barbara, United States

IMDSP-L8.2: Rate-Distortion Optimized Motion Estimation for Error Resilient Video Coding
Hua Yang, Kenneth Rose, University of California, Santa Barbara, United States

IMDSP-L8.3: Bit Allocation Algorithm for Joint Source-Channel Coding of t+2D Video Sequences
Georgia Feideropoulou, Béatrice Pesquet-Popescu, Jean-Claude Belfiore, ENST Paris, France

IMDSP-L8.4: Wiener Filtering for Generalized Error Resilient Time Domain Lapped Transform
Jie Liang, Simon Fraser University, Canada; Chengjie Tu, Microsoft Corporation, United States; Trac Tran, The Johns Hopkins University, United States; Lu Gan, University of Newcastle, Australia

IMDSP-L8.5: A Zero Error Propagation Extension to H264 for Low Delay Video Communications Over Lossy Channels
Oztan Harmanci, A. Murat Tekalp, University of Rochester, United States

IMDSP-L8.6: Distortion Estimation for Temporal Layered Video Coding
Sila Ekmekci, Pascal Frossard, Swiss Federal Institute of Technology (EPFL), Switzerland; Thomas Sikora, Technical University of Berlin, Germany

IMDSP-L9: Image Coding

IMDSP-L9.1: Image Compression with Multitree Tilings.
Yan Huang, Ilya Pollak, Charles Bouman, Purdue University, United States

IMDSP-L9.2: Contour Adaptive Image Coding
Xin Li, West Virginia University, United States

IMDSP-L9.3: Improved Matching Pursuits Image Coding (Supplemental Multimedia Files available for this paper)
Yuan Yuan, Don Monro, University of Bath, United Kingdom

IMDSP-L9.4: Adaptive Generalized Prediction for Lifting Schemes
Joel Solé, Philippe Salembier, Technical University of Catalonia (UPC), Spain

IMDSP-L9.5: Spatially-Selective Quantization and Coding for Wavelet-Based Image Compression
Matthew Gaubatz, Damon Chandler, Sheila Hemami, Cornell University, United States

IMDSP-L9.6: Adaptive lifting for multicomponent image coding through quadtree partitioning
Jamel Hattay, Amel Benazza-Benyahia, Ecole Superieure des Communications de Tunis, Tunisia; Jean-Christophe Pesquet, Université de Marne-la-Vallée, France

IMDSP-L10: Video Segmentation and Tracking

IMDSP-L10.1: A Color-based Particle Filter for Joint Detection and Tracking of Multiple Objects
Jacek Czyz, Université catholique de Louvain, Belgium; Branko Ristic, Defence Science & Technology Organisation, Australia; Benoît Macq, Université catholique de Louvain, Belgium

IMDSP-L10.2: Hybrid Particle Filter and Mean Shift tracker with adaptive transition model
Emilio Maggio, Andrea Cavallaro, Queen Mary, University of London, United Kingdom

IMDSP-L10.3: An Online Motion-Based Particle Filter for Head Tracking Applications
Nidhal Bouaynaya, Wei Qu, Dan Schonfeld, University of Illinois at Chicago, United States

IMDSP-L10.4: Reliable Segmentation of Pedestrians in Moving Scenes
Yang Ran, Qinfen Zheng, Isaac Weiss, Larry Davis, University of Maryland, United States

IMDSP-L10.5: Tracking Algorithm Using Background-Foreground Motion Models and Multiple Cues
Jie Shao, University of Maryland, College Park, United States; Shaohua Zhou, Siemens Corporation Research, United States; Rama Chellappa, University of Maryland, College Park, United States

IMDSP-L10.6: An Audio-Visual Database For Evaluating Person Tracking Algorithms
Michalis Krinidis, Georgios Stamou, Aristotle University of Thessaloniki, Greece; Heinz Teutsch, Sascha Spors, University of Erlangen-Nuremberg, Germany; Nikolaos Nikolaidis, Aristotle University of Thessaloniki, Greece; Rudolf Rabenstein, University of Erlangen-Nuremberg, Germany; Ioannis Pitas, Aristotle University of Thessaloniki, Greece

IMDSP-L11: Image Feature Extraction and Analysis

IMDSP-L11.1: Mutual Information Based Subbband Selection for Wavelet Packet Based Image Classification
Ke Huang, Selin Aviyente, Michigan State University, United States

IMDSP-L11.2: Migrating Orthogonal Rotation-Invariant Moments from Continuous to Discrete Space
Huibao Lin, Jennie Si, Arizona State University, United States; Glen P. Abousleman, General Dynamics C4 Systems, United States

IMDSP-L11.3: Feature subset selection with applications to hyperspectral data
Hao Chen, Pramod Varshney, Syracuse University, United States

IMDSP-L11.4: Gradient Based Optimization of an EMST Image Registration Function
Mert Sabuncu, Peter Ramadge, Princeton University, United States

IMDSP-L11.5: Detection and Representation of Complex Local Features
Klas Nordberg, Robert Söderberg, Linköping University, Sweden

IMDSP-L11.6: Interest Points from the Radial Mass Transform
Paul Albee, Central Michigan University, United States; George Stockman, Michigan State University, United States

IMDSP-P1: Video Coding and Transmission

IMDSP-P1.1: Rate Control for Motion JPEG2000 Using Correlation Prediction
Jun Hou, Xiangzhong Fang, Shanghai Jiaotong University, China; Rong Hou, The Goverment of Xuhui District, China

IMDSP-P1.2: Additive Distortion Modeling for Unequal Error Protection of Scalable Multimedia Content
Eric Salemi, IMEC - VUB, Belgium; Claude Desset, IMEC, Belgium; Jan Cornelis, Peter Schelkens, VUB, Belgium

IMDSP-P1.3: Low-Latency Methods for Wireless Video Transmission
Alan Del Tredici, Joel Rosiene, Truong Nguyen, University of California, San Diego, United States

IMDSP-P1.4: Four-Band Linear-Phase Orthogonal Spatial Filter Bank for Subband Video Coding
Grégoire Pau, Béatrice Pesquet-Popescu, GET-ENST (Telecom Paris), France

IMDSP-P1.5: Optimal Upload Policies for P2P Networks with System Imposed Constraints
Ritesh Sood, Mihaela van der Schaar, University of California, Davis, United States

IMDSP-P1.6: Piecewise Linear Model for Real-Time Rate Control
Chi-Wah Wong, Oscar C. Au, Hong Kong University of Science and Technology, Hong Kong SAR of China; Chi-Wing Wong, The Chinese University of Hong Kong, Hong Kong SAR of China; Hong-Kwai Lam, Hong Kong University of Science and Technology, Hong Kong SAR of China

IMDSP-P1.7: Multiple Description Image Coding Using Natural Scene Statistics
Sumohana Channappayya, Robert Heath, Alan Bovik, University of Texas, Austin, United States

IMDSP-P1.8: A Statistical Approach to Packet Loss Concealment for Video
Daniel Persson, Per Hedelin, Chalmers University of Technology, Sweden

IMDSP-P1.9: Scalable Video Transmission over Multirate GMC-CDMA Wireless Channels
George Partasides, Lisimachos P. Kondi, SUNY at Buffalo, United States

IMDSP-P1.10: H.264-based Lossless Video Coding Using Adaptive Transforms
Seishi Takamura, Yoshiyuki Yashima, NTT Corporation, Japan

IMDSP-P1.11: Efficient Post-Compression Error-Resilient 3D-Scalable Video Transmission for Packet Erasure Channels
Chih-Ming Fu, National Tsing Hua University, Taiwan; Wen-Liang Hwang, Academia Sinica, Taiwan; Chung-Lin Huang, National Tsing Hua University, Taiwan

IMDSP-P1.12: Reduced-Delay Selective ARQ for Low Bit-Rate Image and Multimedia Data Transmission
Tuyet-Trang Lam, Lina J. Karam, Rida A. Bazzi, Arizona State University, United States; Glen P. Abousleman, General Dynamics C4 Systems, United States

IMDSP-P1.13: Streaming Video with Bandwidth Adaptation and Error Concealment for Low Bit Rate Live Wireless Applications
Amir Asif, Uyen Nguyen, Guohua Xu, Bin Song, York University, Canada

IMDSP-P2: Video Coding

IMDSP-P2.1: Low Bit Rate Video Coding Using DCT-Based Fast Decimation/Interpolation and Embedded Zerotree Coding
Hakki Ilgin, Luis F. Chaparro, University of Pittsburgh, United States

IMDSP-P2.2: Buffer-constrained R-D Model-Based Rate Control for H.264/AVC
Ping Li, Xiaokang Yang, Weisi Lin, Institute for Infocomm Research, Singapore

IMDSP-P2.3: On Joint Optimization of Motion Compensation, Quantization and Baseline Entropy Coding in H.264 with Complete Decoder Compatibility
En-hui Yang, Xiang Yu, University of Waterloo, Canada

IMDSP-P2.4: Enhancing Whole-Frame Error Concealment with an Intra Motion Vector Estimator in H.264/AVC
Emanuele Quacchio, Enrico Magli, Gabriella Olmo, Politecnico di Torino, Italy; Pierpaolo Baccichet, Antonio Chimienti, IEIIT / CNR, Italy

IMDSP-P2.5: Optimal Interleaving for 3-D Zerotree Wavelet Video Packets Over Burst Lossy Channels
Yi Zhao, Stanley Ahalt, The Ohio State University, United States; Jianyu Dong, California State University, Los Angeles, United States

IMDSP-P2.6: On-Chip Cache Algorithm Design for Multimedia SOC
Saengrawee Pratoomtong, Yu Hen Hu, University of Wisconsin-Madison, United States

IMDSP-P2.7: Robust Motion Vector Coding and Error Concealment in MCTF-Based Video Coding
Maryse Stoufs, Joeri Barbarien, Vrije Universiteit Brussel, Belgium; Peter Schelkens, Vrije Universiteit Brussel, Belgium; Jan Cornelis, Vrije Universiteit Brussel, Belgium; Adrian Munteanu, Vrije Universiteit Brussel, Belgium

IMDSP-P2.8: A Study on Non-octave Scalable Coding using Motion Compensated Inter-frame Wavelet Transform
Takayuki Nakachi, Tetsuro Fujii, NTT Network Innovation Laboratories, Japan

IMDSP-P2.9: Encoder-Assisted Adaptive Video Frame Interpolation
Gökçe Dane, University of California, San Diego, United States; Khaled El-Maleh, Yen-Chi Lee, Qualcomm Inc., United States

IMDSP-P2.10: A Resolution Adaptive Interpolation Technique for Enhanced Decoding of Scalable Coded Video
Marta Mrak, Nikola Sprljan, Ebroul Izquierdo, Queen Mary, University of London, United Kingdom

IMDSP-P2.11: Noise Power Estimation for Effective De-Noising in a Video Encoder
Byung Cheol Song, Kang Wook Chun, Samsung Electronics Co., Ltd, Republic of Korea

IMDSP-P3: Image coding

IMDSP-P3.1: Cascade Fractal Image Compression and its Modification
Nikolay Ponomarenko, National Aerospace University, Ukraine; Karen Egiazarian, Tampere University of Technology, Finland; Vladimir Lukin, National Aerospace University, Ukraine; Jaakko Astola, Tampere University of Technology, Finland

IMDSP-P3.2: Improvement of JPEG2000 Using Curved Wavelet Transform
Demin Wang, Liang Zhang, Andre Vincent, Communications Research Centre Canada, Canada

IMDSP-P3.3: A New Near-Lossless Image Compression Method in Digital Image Sensors with Bayer Color Filter Arrays
Xiang Xie, Guolin Li, Xiaowen Li, XinKai Chen, Kun Yang, Chun Zhang, ZhiHua Wang, Tsinghua University, China

IMDSP-P3.4: An Improved Shape-Based Arbitrary Shape ROI Coding Method with SA-DWT in JPEG2000
Yong Tian, Xiangwei Kong, Dalian University of Technology, China

IMDSP-P3.5: New Pixel-DCT Domain Coding Technique for Object Based and Frame Based Prediction Error
Ko-Cheung Hui, Wan-Chi Siu, Hong Kong Polytechnic University, Hong Kong SAR of China

IMDSP-P3.6: Embedded Image Compression Using a Classified Multistage VQ in Wavelet Domain
Xiaodong Li, Ezzatollah Salari, University of Toledo, United States

IMDSP-P3.7: Memory Efficient Set Partitionning in Hierarchical Tree (MESH) for Wavelet Image Compression
Harish Arora, Pramit Singh, Ekram Khan, Aligarh Muslim University, India; Farid Ghani, Universiti Sains Malaysia, Malaysia

IMDSP-P3.8: Color Image Coding by Utilizing the Crossed Masking
Yan Meng, Stevens Institute of Technology, United States; Linfeng Guo, BrainMedia LLC, United States

IMDSP-P3.9: Classified Context Quantization of VQ Indexes for Image Compression
Yun Gong, Widener University, United States

IMDSP-P3.10: Fast Encoding Method for Vector Quantization Based on a New Mixed Pyramid Data Structure
Zhibin Pan, Koji Kotani, Tadahiro Ohmi, Tohoku University, Japan

IMDSP-P3.11: Scalable Hyperspectral Image Coding
Xiaoli Tang, William Pearlman, Rensselaer Polytechnic Institute, United States

IMDSP-P4: Image and Video Indexing and Retrieval

IMDSP-P4.1: A Sketch Image Retrieval System Using Directional Projection: DPSIR
Zhihua He, Maja Bystrom, Boston University, United States

IMDSP-P4.2: Boosting Web Image Search by Co-Ranking
Jingrui He, Changshui Zhang, Nanyuan Zhao, Hanghang Tong, Tsinghua University, China

IMDSP-P4.3: Rotation-Invariant Texture Retrieval with Gaussianized Steerable Pyramids
George Tzagkarakis, FORTH, Greece; Baltasar Beferull-Lozano, Swiss Federal Institute of Technology (EPFL), Switzerland; Panagiotis Tsakalides, FORTH, Greece

IMDSP-P4.4: Color image retrieval using the datasieve
Balaji Iyer, Naval Air Warfare Center - Weapons Division, United States; Malcolm Macleod, QinetiQ Ltd., United Kingdom

IMDSP-P4.5: Playfield Detection Using Adaptive GMM and Its Application
Yang Liu, Harbin Institute of Technology, China; Shuqiang Jiang, Qixiang Ye, Wen Gao, Qingming Huang, Chinese Academy of Sciences, China

IMDSP-P4.6: A Comprehensive Coarse-To-Fine Sports Video Analysis Framework to Infer 3D Parameters of Video Objects with Application to Tennis Video Sequences
Ying Luo, Jenq-Neng Hwang, University of Washington, United States

IMDSP-P4.7: Indexing of NFL Video using MPEG-7 Descriptors and MFCC features
Syed Quadri, Sridhar Krishnan, Ling Guan, Ryerson University, Canada

IMDSP-P4.8: Soccer Replay Detection using Scene Transition Structure Analysis
Jinjun Wang, Institute for Infocomm Research, Singapore; Engsiong Chng, Nanyang Technological University, Singapore; Changsheng Xu, Institute for Infocomm Research, Singapore

IMDSP-P4.9: Fast Video Retrieval via the Statistics of Motion
Jing-Fung Chen, Hong-Yuan Mark Liao, Academia Sinica, Taiwan; Chia-Wen Lin, Chung Cheng University, Taiwan

IMDSP-P4.10: Video Background Retrieval using Mosaic Images
Xue Mei, Mahesh Ramachandran, University of Maryland, College Park, United States; Shaohua Kevin Zhou, Siemens Corporate Research, United States

IMDSP-P4.11: Video Stream Retrieval Based on Temporal Feature of Frame Difference
Mikito Toguro, Kenji Suzuki, Pitoyo Hartono, Shuji Hashimoto, Waseda University, Japan

IMDSP-P4.12: Efficient Video Retrieval by Locality Sensitive Hashing
Shiyan Hu, Polytechnic University, United States

IMDSP-P4.13: Global Motion Compensated Key Frame Extraction from Compressed Videos (Supplemental Multimedia Files available for this paper)
Haoran Yi, Deepu Rajan, Liang-Tien Chia, Nanyang Technological University, Singapore

IMDSP-P5: Biomedical Imaging

IMDSP-P5.1: Enhancing the Depth Resolution of Contactless Electrical Conductivity Imaging
Mehmet Tek, Bahram Shafai, Northeastern University, United States

IMDSP-P5.2: Effective Apoptotic Cell Extraction from Video Microscopy Images
Miki Haseyana, Yukari Sasamura, Hokkaido University, Japan

IMDSP-P5.3: ARGDYP: an Adaptive Region Growing and DYnamic Programming Algorithm for Stenosis Detection in MRI
Jing Jiang, Ming Dong, Mark Haacke, Wayne State University, United States

IMDSP-P5.4: A Edge-Preserving Minimum Cross-Entropy Algorithm for Pet Image Reconstruction Using Multiphase Level Set Method
Hongqing Zhu, Jian Zhou, Huazhong Shu, Limin Luo, Southeast University, China

IMDSP-P5.5: Separating Spatial and Temporal Activation Patterns in fMRI Using Competitive Subspace Projection
Rui Yan, Guojun He, University of Florida, United States; Deniz Erdogmus, OGI School of Engineering and Science, OHSU, United States; Sung-Phil Kim, Jose Principe, Yijun Liu, University of Florida, United States

IMDSP-P5.6: Point Spread Function Optimization for MRI Reconstruction
Hao Tan, Yibin Zheng, University of Virginia, United States

IMDSP-P5.7: Radon Transform Inversion Based on Harmonic Analysis of the Euclidean Motion Group
Can Evren Yarman, Birsen Yazici, Rensselaer Polytechnic Institute, United States

IMDSP-P5.8: A Deformable-radius B-Spline Method for Shape-based Inverse Problems, as Applied to Electrical Impedance Tomography
Saeed Babaeizadeh, Dana H. Brooks, Northeastern University, United States; David Isaacson, Rensselaer Polytechnic Institute, United States

IMDSP-P5.9: medical ultrasound imaging using the fully adaptive beamformer
Magali Sasso, Claude Cohen-Bacrie, Philips Research Briarcliff, United States

IMDSP-P5.10: SNR Analysis for Phased-Array MRI
Yingge Wang, Qiang Cheng, Wayne State University, United States; Jie Cheng, Southern Illinois University, United States

IMDSP-P5.11: Cell Density Estimation from a Still Image for In-Situ Microscopy
Geovanni Martinez, Universidad de Costa Rica, Costa Rica; Jan-Gerd Frerichs, University of Hannover, Germany; Klaus Joeris, Konstantin Kontantinov, Bayer Healthcare, United States; Thomas Scheper, University of Hannover, Germany

IMDSP-P6: Image/Video Storage, Retrieval and Authentication

IMDSP-P6.1: Deriving High-Level Concepts Using Fuzzy-ID3 Decision Tree for Image Retrieval
Ying Liu, Dengsheng Zhang, Guojun Lu, Monash University, Australia; Wei-Ying Ma, Microsoft Research Asia, China

IMDSP-P6.2: Data Hiding For Text Document Image Authentication by Connectivity-Preserving
Huijuan Yang, Alex C. Kot, Nanyang Technological University, Singapore

IMDSP-P6.3: Relevance Feedback Learning With Feature Selection In Region-Based Image Retrieval
Wei Jiang, Guihua Er, Qionghai Dai, Tsinghua University, China; Lian Zhong, Yao Hou, Shenzhen Municipal Government, China

IMDSP-P6.4: Probabilistic Relevance Feedback with Binary Semantic Feature Vectors
David Liu, Tsuhan Chen, Carnegie Mellon University, United States

IMDSP-P6.5: Two Kinds of Timing Cues and Their Usage in Concept Detection in News Video
Dong Wang, Dayong Ding, Le Chen, Shen Zhang, Fuzong Lin, Bo Zhang, Tsinghua University, China

IMDSP-P6.6: A Framework for Image Based Authentication
Cristian Perra, Daniele Giusto, University of Cagliari, Italy

IMDSP-P6.7: An SVD-Based Watermarking Method for Image Content Authentication with Improved Security
Seungjae Lee, Electronics and Telecomm. Research Institute, Republic of Korea; Dalwon Jang, Chang D. Yoo, Korea Advanced Institute of Science and Technology, Republic of Korea

IMDSP-P6.8: Robust Digital Fingerprinting for Curves
Hongmei Gou, Min Wu, University of Maryland, College Park, United States

IMDSP-P6.9: A Chaotic Authentication Technique for Digital Video Surveillance
Siyue Chen, Henry Leung, University of Calgary, Canada

IMDSP-P6.10: PSteg: steganographic embedding through patching
Kyle Petrowski, Mehdi Kharrazi, Husrev T. Sencar, Nasir Memon, Polytechnic University, United States

IMDSP-P6.11: Video Shot Boundary Detection Using Independent Component Analysis
Jian Zhou, Xiao-Ping Zhang, Ryerosn University, Canada

IMDSP-P6.12: Generating True Color Paper Textures of Historical Documents
Cláudio Cavalcanti, Carlos Mello, Milena Rodrigues, University of Pernambuco, Brazil

IMDSP-P6.13: Methods for Improving Discriminant Analysis for Face Authentication
Marios Kyperountas, Anastasios Tefas, Ioannis Pitas, Aristotle University of Thessaloniki, Greece

IMDSP-P7: Image Formation - Image Representation and Quality Assessment

IMDSP-P7.1: Detectability and Annoyance of Synthetic Blockiness, Blurriness, Noisiness, and Ringing in Video Sequences
Mylene Farias, John Foley, Sanjit Mitra, University of California, Santa Barbara, United States

IMDSP-P7.2: Seismic Imaging Using Complex Wavelets
Mark Miller, Nick Kingsbury, University of Cambridge, United Kingdom; Richard Hobbs, University of Durham, United Kingdom

IMDSP-P7.3: A New Framework for Characterization of Halftone Textures
Ti-chiun Chang, Siemens Corporate Research, United States; Jan Allebach, Purdue University, United States

IMDSP-P7.4: A Method to Generate Halftone Video
Zhaohui Sun, Eastman Kodak Company, United States

IMDSP-P7.5: Pose-Normalized View Synthesis From Silhouettes
Zhanfeng Yue, Rama Chellappa, University of Maryland, United States

IMDSP-P7.6: Translation Insensitive Image Similarity in Complex Wavelet Domain
Zhou Wang, Eero Simoncelli, New York University, United States

IMDSP-P7.7: Non-Iterative Imaging Algorithm for CLSAR
Zhigang Su, Yingning Peng, Xiutan Wang, Tsinghua University, China

IMDSP-P7.8: Perceptual Quality Metric For Compressed Videos
EePing Ong, Xiaokang Yang, Weisi Lin, Zhongkang Lu, Susu Yao, Institute for Infocomm Research, Singapore

IMDSP-P7.9: Comparison of blocking and blurring metrics for video compression
Athanasios Leontaris, University of California, San Diego, United States; Amy R. Reibman, AT&T Labs - Research, United States

IMDSP-P7.10: Image-Based Rendering with Depth Information Using the Propagation Algorithm
Ha T. Nguyen, Minh N. Do, University of Illinois at Urbana-Champaign, United States

IMDSP-P7.11: Performance of a MVE Algorithm for Compound Eye Image Reconstruction Using Lens Diversity
Sally Wood, Bonnie Smithson, Santa Clara University, United States; Dinesh Rajan, Marc Christensen, Southern Methodist University, United States

IMDSP-P7.12: Optimal Co-design Of Computational Imaging System
Tejaswini Mirani, Marc Christensen, Scott Douglas, Dinesh Rajan, Southern Methodist University, United States; Sally Wood, Santa Clara University, United States

IMDSP-P7.13: Turbo Iterative Estimation of Singularity Structure in SAR Image based on Wavelet-domain Hidden Markov Models
Bao Guan, Hong Sun, Wuhan University, China

IMDSP-P7.14: 3CCD Interpolation using Selective Projection
Soo Hyun Bae, Georgia Institute of Technology, United States; Moon-Cheol Kim, Samsung Electronics Co., Ltd, Republic of Korea; Biing-Hwang (Fred) Juang, Georgia Institute of Technology, United States

IMDSP-P8: Image Restoration and Enhancement

IMDSP-P8.1: Dynamic Programming Based Multichannel Image Restoration
Mrityunjay Kumar, Pradeep Ramuhalli, Michigan State University, United States

IMDSP-P8.2: A Motion-Augmented Super-Resolution Scheme for Very Low-Bit-Rate Video Enhancement
Zoran Ivanovski, Lina J. Karam, Arizona State University, United States; Glen P. Abousleman, General Dynamics C4 Systems, United States

IMDSP-P8.3: Classification Based Adaptive Vector Filter for Color Image Restoration
Zhonghua Ma, Hong Ren Wu, Monash University, Australia

IMDSP-P8.4: A Restoration Method for Confocal Microscopy Using Complex Wavelet Transform
Laure Blanc-Feraud, CNRS, France; Gemma Pons Bernad, Josiane Zerubia, INRIA, France

IMDSP-P8.5: Subspace Partition Weighted Sum Filters for Image Deconvolution
Yong Lin, Russell Hardie, University of Dayton, United States; Kenneth E. Barner, University of Delaware, United States

IMDSP-P8.6: Blind Deconvolution Using a Monotonicity Constraint on the PSF
Hongxin Wu, Liang Ji, Tsinghua University, China

IMDSP-P8.7: Contrast Entropy Based Image Enhancement and Logarithmic Transform Coefficient Histogram Shifting
Blair Silver, Tufts University, United States; Sos Agaian, University of Texas, San Antonio, United States; Karen Panetta, Tufts University, United States

IMDSP-P8.8: Recursive deconvolution of multisensor imagery using finite mixture distributions
Alexia Giannoula, Dimitrios Hatzinakos, University of Toronto, Canada

IMDSP-P8.9: Image Denoising Using a Tight Frame
Lixin Shen, Western Michigan University, United States; Manos Papadakis, Ioannis A. Kakadiaris, Ioannis Konstantinidis, Donald Kouri, University of Houston, United States; David Hoffman, Iowa State University, United States

IMDSP-P8.10: Image Denoising Based on the Wavelet Co-Occurrence Matrix
Zeyong Shan, Selin Aviyente, Michigan State University, United States

IMDSP-P8.11: A Novel Content-Adaptive Video Denoising Filter
Tai Wai Chan, Oscar C. Au, Tak Song Chong, Wing San Chau, Hong Kong University of Science and Technology, Hong Kong SAR of China

IMDSP-P8.12: Denoising of Images Using Designed Signal Dependent Frames and Matching Pursuit
Kjersti Engan, Karl Skretting, John Håkon Husøy, University of Stavanger, Norway

IMDSP-P9: Video Segmentation and Tracking

IMDSP-P9.1: Object Tracking in Video Using Particle Filtering
Krishna Tangirala, Kamesh Namuduri, Wichita State University, United States

IMDSP-P9.2: Automatic Multi-Head Detection and Tracking System using A Novel Detection-Based Particle Filter and Data Fusion
Wei Qu, Nidhal Bouaynaya, Dan Schonfeld, University of Illinois at Chicago, United States

IMDSP-P9.3: Tracking Facial Markers with an Adaptive Marker Collocation Model
Jon Barker, University of Sheffield, United Kingdom

IMDSP-P9.4: Real-Time Fire and Flame Detection in Video (Supplemental Multimedia Files available for this paper)
Yigithan Dedeoglu, B. Ugur Töreyin, Ugur Güdükbay, A. Enis Çetin, Bilkent University, Turkey

IMDSP-P9.5: Reduced Support Vector Machines Applied to Real-Time Face Tracking
Benjamin Castañeda, Juan Cockburn, Rochester Institute of Technology, United States

IMDSP-P9.6: Hierarchical Representation of Scenes Using Activity Information
José Luis Landabaso, Montse Pardàs, Technical University of Catalonia (UPC), Spain; Li-Qun Xu, BT Research, United Kingdom

IMDSP-P9.7: Object Tracking in Unmanned Aerial Vehicle (UAV) Videos Using a Combined Approach
Shuqun Zhang, College of Staten Island, United States

IMDSP-P9.8: A Transform Domain Approach to Real-Time Foreground Segmentation in Video Sequences (Supplemental Multimedia Files available for this paper)
Juhua Zhu, Stuart Schwartz, Bede Liu, Princeton University, United States

IMDSP-P9.9: Key-frame extraction for Object-based Video Segmentation
Xiaomu Song, Guoliang Fan, Oklahoma State University, United States

IMDSP-P9.10: Model of Object-Based Coding for Surveillance Video
Yang Yu, David Doermann, University of Maryland, College Park, United States

IMDSP-P9.11: Model-based Human Motion Analysis in Monocular Video
Wai Wong Lok, Kwok-Leung Chan, City University of Hong Kong, Hong Kong SAR of China

IMDSP-P9.12: Facial Action Tracking Using an AAM-Based Condensation Approach
Soumya Hamlaoui, Franck Davoine, University of Technology of Compiegne, France

IMDSP-P9.13: Moving Object Segmentation and Dynamic Scene Reconstruction Using Two Frames
Amit Agrawal, Rama Chellappa, University of Maryland, United States

IMDSP-P9.14: Interpretation of State Sequences in HMM for Activity Representation
Naresh Cuntoor, University of Maryland, United States; B. Yegnanarayana, Indian Institute of Technology Madras, India; Rama Chellappa, University of Maryland, United States

IMDSP-P10: Image Segmentation

IMDSP-P10.1: Bi-Lateral Filtering Based Edge Detection on Hexagonal Architecture
Qiang Wu, Xiangjian He, Tom Hintz, University of Technology, Sydney, Australia

IMDSP-P10.2: Copulas in Vectorial Hidden Markov Chains for Multicomponent Image Segmentation
Nicolas Brunel, Wojciech Pieczynski, Institut National des Telecommunications, France; Stéphane Derrode, Institut Fresnel, France

IMDSP-P10.3: Alpha Estimation in Perceptual Color Space
Shengyou Lin, Qiushuang Zhang, Jiaoying Shi, Zhejiang University, China

IMDSP-P10.4: Fast and Automatic Tumoral Area Localisation using Symmetry (Supplemental Multimedia Files available for this paper)
Matei Mancas, Bernard Gosselin, Faculté Polytechnique de Mons, Belgium; Benoît Macq, Universoté Catholique de Louvain, Belgium

IMDSP-P10.5: Shadow Removal with Blob-Based Morphological Reconstruction for Error Correction
Li-Qun Xu, BT Research, United Kingdom; José Luis Landabaso, Montse Pardàs, Technical University of Catalunya (UPC), Spain

IMDSP-P10.6: Localization of Sections Within the Brain Via 2D to 3D Image Registration
Smadar Gefen, Louise Bertrand, Drexel University, United States; Nahum Kiryati, Tel-Aviv University, Israel; Jonathan Nissanov, Drexel University, United States

IMDSP-P10.7: Automatic Parameterization of Grey-Level Hit-or-Miss Operators for Brain Vessel Segmentation
Nicolas Passat, Christian Ronse, LSIIT, UMR 7005 CNRS-ULP, France; Joseph Baruthio, Jean-Paul Armspach, IPB, UMR 7004 CNRS-ULP, France

IMDSP-P10.8: A New Image Texture Extraction Algorithm Based on Matching Pursuit Gabor Wavelets
Mehrdad Yaghoobi Vaighan, Hamid Rabiee, Mohammad Ghanbari, Mohammad Bagher Shamsollahi, Sharif University of Technology, Iran (Islamic Republic of)

IMDSP-P10.9: A New Gradient and Region Based Geometric Snake (Supplemental Multimedia Files available for this paper)
Yongsheng Pan, Douglas Birdwell, Seddik Djouadi, University of Tennessee, United States

IMDSP-P10.10: A hybrid framework for image segmentation
Huiyu Zhou, University of Essex, United Kingdom; Tangwei Liu, Guangxi Medical University, China; Huosheng Hu, University of Essex, United Kingdom; Yusheng Pang, Faquan Lin, Ji Wu, Guangxi Medical University, China

IMDSP-P10.11: Segmentation of Color Textile Images Based on a Multiscale Context Model
Xiqun Lu, Binwei Yang, Zhejiang University, China

IMDSP-P10.12: A New Segmentation Technique for Multi Font Farsi/Arabic Texts
Mona Omidyeganeh, Kambiz Nayebi, Sharif University of Technology, Iran (Islamic Republic of); Reza Azmi, Alzahra University, Iran (Islamic Republic of); Abbas Javadtalab, Sharif University of Technology, Iran (Islamic Republic of)

IMDSP-P11: Feature Extraction and Analysis

IMDSP-P11.1: Two Dimensional Fisher Discriminant Analysis: Forget About Small Sample Size Problem
Hui Kong, Eam Khwang Teoh, Nanyang Technological University, Singapore; Jian Gang Wang, Ronda Venkateswarlu, Institute for Infocomm Research, Singapore

IMDSP-P11.2: Texture Analysis and Synthesis using Angular Wavelet Frames
R. Venkateswara Rao, Sumana Gupta, IIT-Kanpur, India

IMDSP-P11.3: Semi-Automatic Probabilistic Morphological Detection
Frans Coetzee, GenuOne, Inc., United States; Visvanathan Ramesh, Siemens Corporate Research, United States

IMDSP-P11.4: 3D Free Form Surface Matching Based on Orientation Difference Length Distribution
Yonghuai Liu, Guoqiang Fei, University of Wales, Aberystwyth, United Kingdom; Baogang Wei, Zhejiang University, China; Longzhuang Li, Texas A&M University, United States

IMDSP-P11.5: Robust Reorientation of 2D Shapes Using the Orientation Indicator Index
Victor H.S. Ha, Samsung Information Systems of America, United States; José M. F. Moura, Carnegie Mellon University, United States

IMDSP-P11.6: Visual Speech Features Representation for Automatic Lip-Reading
Alaa Sagheer, Kyushu University, Japan; Naoyuki Tsuruta, Fukuoka Unversity, Japan; Rin-Ichiro Taniguchi, Kyushu Unversity, Japan; Sakashi Maeda, Fukuoka University, Japan

IMDSP-P11.7: Multiscale Orientation Estimation of Perceptual Boundaries (Supplemental Multimedia Files available for this paper)
Jeffrey Ng Sing Kwong, Anil Anthony Bharath, Imperial College London, United Kingdom

IMDSP-P11.8: Region-Based Super-Resolution Aided Facial Feature Extraction from Low-Resolution Video Sequences
Turgay Celik, ITAGE, Turkey; Cem Direkoglu, Huseyin Ozkaramanli, Hasan Demirel, Mustafa Uyguroglu, Eastern Mediterranean University, Turkey

IMDSP-P12: Authentication and Watermarking

IMDSP-P12.1: Steganalysis of Halftone Images
Ming Jiang, Edward Wong, Nasir Memon, Polytechnic University, United States; Xiaolin Wu, McMaster University, Canada

IMDSP-P12.2: Angle QIM: A Novel Watermark Embedding Scheme Robust Against Amplitude Scaling Distortions
Fabrício Ourique, Vinicius Licks, Ramiro Jordan, University of New Mexico, United States; Fernando Pérez-González, University of Vigo, Spain

IMDSP-P12.3: An Exact Expression for the Bit Error Probability in Angle QIM Watermarking Under Simultaneous Amplitude Scaling and AWGN Attacks
Vinicius Licks, Fabrício Ourique, Ramiro Jordan, University of New Mexico, United States; Fernando Pérez-González, University of Vigo, Spain

IMDSP-P12.4: An ICA Based Algorithm For Video Watermarking
Hussein Joumaa, Franck Davoine, Compiegne University of Technology (UTC), France

IMDSP-P12.5: Informed Positional Embedding for Multi-bit Watermarking
Paulo Borges, Joceli Mayer, Federal University of Santa Catarina, Brazil

IMDSP-P12.6: A Cryptanalytic Method for Embedding Video Watermarks
Qian Zhang, Nigel Boston, University of Wisconsin-Madison, United States

IMDSP-P12.7: Perceptual Watermarking Using a Wavelet Visible Difference Predictor
Xingliang Huang, Bo Zhang, Tsinghua University, China

IMDSP-P12.8: Digital Image Steganography Algorithm Based on Iterative Blending
Mingqiao Wu, National University of Defense Technology, China; Zhongliang Zhu, Southwest Institute of Electron & Telecom Techniques, China; Shiyao Jin, National University of Defense Technology, China

IMDSP-P12.9: Watermarking in Halftone Images with Parity-Matched Error Diffusion
Jing-Ming Guo, Soo-Chang Pei, National Taiwan University, Taiwan; Hua Lee, University of California, Santa Barbara, United States

IMDSP-P12.10: Image Content-Based Geometric Transformation Resistant Watermarking Approach
Xiaojun Qi, Ji Qi, Utah State University, United States

IMDSP-P12.11: Designing Robust Watermarks using Polynomial Phase Exponentials
Bijan Mobasseri, Yimin Zhang, Moeness Amin, Behzad M. Dogahe, Villanova University, United States

IMDSP-P12.12: Commitment Based Watermark Detection Protocols
Liu Yongliang, Harbin Institute of Technology, China

IMDSP-P12.13: Document Image Watermarking Algorithm Based on Neighborhood Pixel Ratio
Shiyan Hu, Polytechnic University, United States

IMDSP-P13: Image and Video Processing

IMDSP-P13.1: A Framework for Image Magnification: Induction Revisited (Supplemental Multimedia Files available for this paper)
Laurent Condat, Annick Montanvert, Laboratoire LIS, France

IMDSP-P13.2: An Algorithm for 3D Reconstruction of Deformable Shape Sequences
Amit Roy-Chowdhury, University of California, Riverside, United States

IMDSP-P13.3: Feature-Based Image Registration in Log-Polar Domain
Saikiran Thunuguntla, Bahadir Gunturk, Louisiana State University, United States

IMDSP-P13.4: An adaptive super-resolution of videos with noise information on camera systems
Toshiyuki Ono, Hiroshi Hasegawa, Isao Yamada, Kohichi Sakaniwa, Tokyo Institute of Technology, Japan

IMDSP-P13.5: Parametric Estimation of Multi-Dimensional Affine Transformations: An Exact Linear Solution
Rami Hagege, Joseph M. Francos, Ben Gurion University, Israel

IMDSP-P13.6: Handling Exposure Time in Multi-Frame Image Restoration
Bahadir Gunturk, Louisiana State University, United States

IMDSP-P13.7: Self-Calibrated Reconstruction of Partially Viewed Symmetric Objects
Hassan Foroosh, Murat Balci, Xiaochun Cao, University of Central Florida, United States

IMDSP-P13.8: Multivariate Entropy Detector Based Hybrid Image Registration
Pavan S., Sridhar Gangadharpalli, Sridhar V., Satyam Computer Services Limited, India

IMDSP-P13.9: A Matching-based View Interpolation Scheme
Xiaoyong Sun, Eric Dubois, University of Ottawa, Canada

IMDSP-P13.10: Disparity Estimation for the Intermediate View Interpolation of Stereoscopic Images
Xiaodong Huang, University of Ottawa, Canada; Eric Dubois, University of Ottawa, Canada

IMDSP-P13.11: An Adaptive Filtering Framework for Image Registration
Gulcin Caner, University of Rochester, United States; A. Murat Tekalp, University of Rochester, United States / Koc University, Turkey; Gaurav Sharma, Wendi Heinzelman, University of Rochester, United States

IMDSP-P13.12: Three-Dimensional Fast Algorithm Solution for Octant-Based Three-Dimensional Yule-Walker Equations
Jiseok Liew, Larry Marple, Oregon State University, United States

IMDSP-P14: Motion Detection and Estimation

IMDSP-P14.1: Robust Optical Flow Estimation in Mpeg Sequences
Konstantinos Rapantzikos, National Technical University of Athens, Greece; Michalis Zervakis, Technical University of Crete, Greece

IMDSP-P14.2: Fast and Accurate Motion Estimation Algorithm By Adaptive Search Range and Shape Selection
Toru Yamada, Masao Ikekawa, Ichiro Kuroda, NEC Corporation, Japan

IMDSP-P14.3: Prediction-Based Directional Fractional Pixel Motion Estimation for H.264 Video Coding
Libo Yang, Zhejiang University, China; Keman Yu, Jiang Li, Shipeng Li, Microsoft Research Asia, China

IMDSP-P14.4: SAD Reuse In Hierarchical Motion Estimation For the H.264 Encoder
Hasan Ates, Sabanci University, Turkey; Yucel Altunbasak, Georgia Institute of Technology, United States

IMDSP-P14.5: Adaptive Predict Based on Fading Compensation for Lifting-Baed Motion Compensated Temporal Filtering
Li Song, Hongkai Xiong, Shanghai Jiaotong University, China; JiZhen Xu, Feng Wu, Microsoft Research Asia, China; Hui Su, Shanghai Jiaotong University, China

IMDSP-P14.6: Four Field Variable Block Size Motion Compensated Adaptive De-interlacing
Yu-Lin Chang, Ching-Yeh Chen, Shyh-Feng Lin, Liang-Gee Chen, National Taiwan University, Taiwan

IMDSP-P14.7: Improved Partial Distortion Search Algorithm for Rapid Block Motion Estimation via Dual-Halfway-Stop
Xiaoquan Yi, Nam Ling, Santa Clara University, United States

IMDSP-P14.8: Sub-Optimal Quarter-Pixel Inter-Prediction Algorithm (SQIA)
Hoi-Ming Wong, Oscar C. Au, Jinxin Huang, Shiju Zhang, Winnie N. Yan, Hong Kong University of Science and Technology, Hong Kong SAR of China

IMDSP-P14.9: Inferring Motion from the Rank Constraint of the Phase Matrix
Murat Balci, Hassan Foroosh, University of Central Florida, United States

IMDSP-P14.10: Perceptually Adaptive Rate-Distortion Optimization for Variable Block Size Motion Alignment in 3D Wavelet Coding
Yin Sun, National University of Singapore, Singapore; F. Pan, Institute for Infocomm Research, Singapore; A. A. Kassim, National University of Singapore, Singapore

IMDSP-P14.11: Geometry-Based Estimation of Occlusions from Video Frame Pairs
Serdar Ince, Janusz Konrad, Boston University, United States

IMDSP-P14.12: Improved Methods for Fundamental Matrix Estimation Based on Evolutionary Agents
Mingxing Hu, Gordon Dodds, Queen's University Belfast, United Kingdom; Baozong Yuan, Beijing Jiaotong University, China

IMDSP-P14.13: Aligning Sequences from Multiple Cameras
Thommen Korah, Christopher Rasmussen, University of Delaware, United States

IMDSP-P14.14: Robust Image Registration under Spatially Non-Uniform Brightness Changes
Dongjiang Xu, Takis Kasparis, University of Central Florida, United States

IMDSP-P15: Biometrics II

IMDSP-P15.1: Personal Identification Technique based on Human Iris Recognition with Wavelet Transform
Wen-Shiung Chen, Kun-Huei Chih, Sheng-Wen Shih, National Chi Nan University, Taiwan; Chih-Ming Hsieh, Hsiuping Institute of Technology, Taiwan

IMDSP-P15.2: Analyzing Asymmetry Biometric in the Frequency Domain for Face Recognition
Sinjini Mitra, Marios Savvides, Carnegie Mellon University, United States

IMDSP-P15.3: Nonsingular Discriminant Feature Extraction for Face Recognition
Chih-Pin Liao, Jen-Tzung Chien, National Cheng Kung University, Taiwan

IMDSP-P15.4: Analysis of Partial Iris Recognition Using a 1-D Approach
Yingzi Du, Bradford Bonney, Robert Ives, Delores Etter, Robert Schultz, U.S. Naval Academy, United States

IMDSP-P15.5: Multi-matcher On-line Signature Verification System in DWT Domain
Isao Nakanishi, Hiroyuki Sakamoto, Yoshio Itoh, Yutaka Fukui, Tottori University, Japan

IMDSP-P15.6: Fast and Accurate 3D Shape from Focus Using Dynamic Programming Optimization Technique
Muhammad Bilal Ahmad, Tae-Sun Choi, Gwangju Institute of Science and Technology, Republic of Korea

IMDSP-P15.7: Identifying Users of Portable Devices from Gait Pattern with Accelerometers
Jani Mäntyjärvi, Mikko Lindholm, Elena Vildjiounaite, Satu-Marja Mäkelä, Heikki Ailisto, VTT Electronics, Finland

IMDSP-P15.8: A Method for Converting a Smiling Face to a Neutral Face with Applications to Face Recognition
Mahesh Ramachandran, University of Maryland, College Park, United States; Shaohua Zhou, Siemens Corporate Research, Inc., United States; Divya Jhalani, Rama Chellappa, University of Maryland, College Park, United States

IMDSP-P15.9: Empirical Comparisons of Several Preprocessing Methods for Illumination Insensitive Face Recognition
Bo Du, Shiguang Shan, Laiyun Qing, Wen Gao, Institute of Computing Technology, China

IMDSP-P15.10: A method of fingerprint image enhancement based on second directional derivatives
Marius Tico, Markku Vehvilainen, Jukka Saarinen, Nokia Research Center, Finland

IMDSP-P16: Image Filtering and Modeling

IMDSP-P16.1: Image Denoising using a Neural Network Based Non-Linear Filter in Wavelet Domain
Shuangteng Zhang, Eastern Kentucky University, United States; Ezzatollah Salari, University of Toledo, United States

IMDSP-P16.2: Fast Adaptive Fuzzy Post-Filtering for Coding Artifacts Removal in Interlaced Video
Yao Nie, University of Delaware, United States; Hao-Song Kong, Anthony Vetro, Huifang Sun, Mitsubishi Electric Research Laboratories, United States; Kenneth E. Barner, University of Delaware, United States

IMDSP-P16.3: Dual Ridgelet Frame Constructed Using Biorthogonal Wavelet Basis
Shan Tan, Xiangrong Zhang, Licheng Jiao, Xidian University, China

IMDSP-P16.4: An Integro-Differential Method for Adaptive Filtering of Additive or Multiplicative Noise
Luc Klaine, Benoit Vozel, Kacem Chehdi, IETR - Lannion, University of Rennes I, France

IMDSP-P16.5: Effective Detection and Elimination of Impulse Noise for Reliable 4:2:0 YCbCr Signals Prior to Compression Encoding
Jongmyon Kim, Linda Wills, D. Scott Wills, Georgia Institute of Technology, United States

IMDSP-P16.6: Quadratic Pulse Inversion Ultrasonic Imaging (QPI): Detection of Low-level Harmonic Activity of Microbubble Contrast Agents
Mamoun Al-Mistarihi, Emad Ebbini, University of Minnesota, United States

IMDSP-P16.7: Adaptive Despeckling SAR Images Based on Scale Space Correlation
Lu Ren, Mengdao Xing, Zheng Bao, Haojun Chen, Xidian University, China

IMDSP-P16.8: A Re-evaluation of Mixture-of-Gaussian Background Modeling
Hanzi Wang, David Suter, Monash University, Australia

IMDSP-P16.9: Statistical Active Model for Mouth Components Segmentation
Pierre Gacon, Pierre-Yves Coulon, LIS-INPG, France; Gérard Bailly, ICP-INPG, France

IMDSP-P16.10: Local Invariant Descriptor for Image Matching
Lei Qin, Chinese Academy of Sciences, China; Wei Zeng, Harbin Institute of Technology, China; Wen Gao, Weiqiang Wang, Chinese Academy of Sciences, China

MSP-L1: Multimedia Security and Content Protection

MSP-L1.1: Improving Collusion Resistance of Error Correcting Code Based Multimedia Fingerprinting
Shan He, Min Wu, University of Maryland, College Park, United States

MSP-L1.2: Format Independent Encryption of Generalized Scalable Bit-Streams Enabling Arbitrary Secure Adaptations
Debargha Mukherjee, Hewlett Packard Laboratories, United States; Huisheng Wang, University of Southern Califormia, United States; Amir Said, Sam Liu, Hewlett Packard Laboratories, United States

MSP-L1.3: Bounded Gaussian Fingerprints and the Gradient Collusion Attack
Darko Kirovski, M. Kivanç Mihçak, Microsoft Research, United States

MSP-L1.4: Security of Feature Extraction in Image Hashing
Ashwin Swaminathan, Yinian Mao, Min Wu, University of Maryland, College Park, United States

MSP-L1.5: Fair Collusion Attacks on Scalable Video Fingerprinting Systems
H. Vicky Zhao, K. J. Ray Liu, University of Maryland, College Park, United States

MSP-L1.6: Enhanced Transform-Domain Correlation-Based Audio Watermarking
Anastasios Tefas, Aristotle University of Thessaloniki, Greece; Alexia Giannoula, University of Toronto, Canada; Nikos Nikolaidis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece

MSP-L2: Conent Based Information Retrieval and Pattern Discovery

MSP-L2.1: Layered Dynamic Mixture Model for Pattern Discovery in Asynchronous Multi-modal Streams
Lexing Xie, Lyndon Kennedy, Shih-Fu Chang, Columbia University, United States; Ajay Divakaran, Huifang Sun, Mitsubishi Electric Research Laboratories, United States; Ching-Yung Lin, IBM T. J. Watson Research Center, United States

MSP-L2.2: Semantics-Based Highlight Extraction of Soccer Program Using DBN
Chung-Yuan Chao, Huang-Chia Shih, Chung-Lin Huang, National Tsing Hua University, Taiwan

MSP-L2.3: Diversity and Importance Measures for Video Downscaling
Kai-Tat Fung, Wan-Chi Siu, Hong Kong Polytechnic University, Hong Kong SAR of China

MSP-L2.4: Broadcast News Segmentation By Audio Type Analysis
Tin Lay Nwe, Haizhou Li, Institute for Infocomm Research, Singapore

MSP-L2.5: Towards A Unified Framework for Content-based Audio Analysis
Lie Lu, Microsoft Research Asia, China; Rui Cai, Tsinghua University, China; Alan Hanjalic, Delft University of Technology, Netherlands

MSP-L2.6: Unsupervised Auditory Scene Categorization via Key Audio Effects and Information-Theoretic Co-Clustering
Rui Cai, Tsinghua University, China; Lie Lu, Microsoft Research Asia, China; Lian-Hong Cai, Tsinghua University, China

MSP-P1: Multimedia Signal Processing I

MSP-P1.1: Kinematics Based Motion Compression for Human Figure Animation
Shiyu Li, Masahiro Okuda, Shin-ichi Takahashi, University of Kitakyushu, Japan

MSP-P1.2: Proposal Strategies for Joint State-Space Tracking with Particle Filters
Volkan Cevher, James H. McClellan, Georgia Institute of Technology, United States

MSP-P1.3: Bimodal Fusion of Emotional Data in an Automotive Environment
Stefan Hoch, Frank Althoff, BMW Group Research and Technology, Germany; Gregor McGlaun, Gerhard Rigoll, Munich University of Technology, Germany

MSP-P1.4: Progressive Streaming of Textured 3D Models over Bandwidth-Limited Channels
Dihong Tian, Ghassan AlRegib, Georgia Institute of Technology, United States

MSP-P1.5: A Statistical Framework for Image-Based Relighting
Hyunjung Shim, Tsuhan Chen, Carnegie Mellon University, United States

MSP-P1.6: A Novel, Psychophysically Motivated Transmission Approach for Haptic Data Streams in Telepresence and Teleaction Systems (Supplemental Multimedia Files available for this paper)
Peter Hinterseer, Eckehard Steinbach, Sandra Hirche, Martin Buss, Munich University of Technology, Germany

MSP-P1.7: Joint Uplink and Downlink Optimization for Video Conferencing over Wireless LAN
Guan-Ming Su, Zhu Han, Min Wu, University of Maryland, College Park, United States; K. J. Ray Liu, University of Maryland, College park, United States

MSP-P1.8: A New Multimedia Packet Loss Classification Algorithm for Congestion Control Over Wired/Wireless Channels
Hsu-Feng Hsiao, University of Washington, United States; Aik Chindapol, Siemens Corporate Research, United States; James Ritcey, University of Washington, United States; Yaw-Chung Chen, National Chiao Tung University, United States; Jenq-Neng Hwang, University of Washington, United States

MSP-P1.9: AMR-WB+: a New Audio Coding Standard for 3rd Generation Mobile Audio Services
Jari Mäkinen, Ericsson, Sweden; Bruno Bessette, University of Sherbrooke, Canada; Stefan Bruhn, Pasi Ojala, Nokia, Finland; Redwan Salami, VoiceAge Corporation, Canada; Anisse Taleb, Ericsson, Sweden

MSP-P1.10: Real-Time Whiteboard Capture and Processing Using a Video Camera for Teleconferencing
Liwei He, Zhengyou Zhang, Microsoft Corporation, United States

MSP-P1.11: Smart Room: Participant and Speaker Localization and Identification
Carlos Busso, Sergi Hernanz, Chi-Wei Chu, Soon-il Kwon, Sung Uk Lee, Panayiotis Georgiou, Isaac Cohen, Shrikanth Narayanan, University of Southern California, United States

MSP-P1.12: Multi-Lighting 3D Face Morphable Model Based on Mesh Resampling
Yongli Hu, Baocai Yin, Yanfeng Sun, Beijing University of Technology, China

MSP-P1.13: Recognizing Human Emotion from Audiovisual Informaiton
Yongjin Wang, Ling Guan, Ryerson University, Canada

MSP-P1.14: A Neural Network Based Context-Aware Handoff Algorithm for Multimedia Computing
Tsungnan Lin, Chiapin Wang, Po-Chiang Lin, National Taiwan University, Taiwan

MSP-P2: Multimedia Signal Processing II

MSP-P2.1: Self-Embedding and Restoration Algorithms for Document Watermark
Anamitra Makur, Nanyang Technological University, Singapore

MSP-P2.2: A High-Performance Hardware Implementation of the H.264 Simplified 8x8 Transformation and Quantization
Ihab Amer, Wael Badawy, University of Calgary, Canada; Graham Jullien, ATIPS, Canada

MSP-P2.3: Complexity Metric Driven Energy Optimization Framework for Implementing MPEG-21 Scalable Video Decoders
Gouri Landge, Mihaela van der Schaar, Venkatesh Akella, University of California, Davis, United States

MSP-P2.4: Generating Metadata from Acoustic and Speech Data in Live Broadcasting
Masanori Sano, Hideki Sumiyoshi, Masahiro Shibata, Nobuyuki Yagi, NHK Science and Technical Research Laboratories, Japan

MSP-P2.5: Similarity Measure for Multi-Attribute Data
Chuanjun Li, Balakrishnan Prabhakaran, S. Q. Zheng, University of Texas, Dallas, United States

MSP-P2.6: Tracking Human Speech Events Using a Particle Filter
Hideki Asoh, Isao Hara, Futoshi Asano, National Institute of Advanced Industrial Science and Technology (AIST), Japan; Kiyoshi Yamamoto, University of Tsukuba, Japan

MSP-P2.7: Providing VOIP Service in UMTS-HSDPA with Frame Aggregation
Gee Rittenhouse, Bell Laboratories, Lucent Technologies, United States; Haitao Zheng, Microsoft Research Asia, China

MSP-P2.8: Evaluation of MPEG-4 IPMP Extension
HweeHwa Pang, Yongdong Wu, Institute for Infocomm Research, Singapore

MSP-P2.9: Robust Image Watermarking Based on the Wavelet Contour Detection
Zhiquan Lu, Xiao-Ping Zhang, Ryerson University, Canada

MSP-P2.10: Automatic Music Summarization Based on Music Structure Analysis
Xi Shao, Namunu Maddage, Changsheng Xu, Institute for Infocomm Research, Singapore; Mohan Kankanhalli, National University of Singapore, Singapore

MSP-P2.11: Robust Pause Detection Using 3D Motion Capture Data for Interactive Dance
Yi Wang, Gang Qian, Thanassis Rikakis, Arizona State University, United States

MSP-P2.12: A Flexible Architecture for Feature-Based Image Editing
Lun-Chia Kuo, Sheng-Jyh Wang, National Chiao Tung University, Taiwan

AE-L1: Applications to Music

AE-L1.1: Energy Behavior in Time-Varying Fractional Delay Filters for Physical Modeling Synthesis of Musical Instruments
Jyri Pakarinen, Matti Karjalainen, Vesa Välimäki, Helsinki University of Technology, Finland; Stefan Bilbao, Queen's University Belfast, United Kingdom

AE-L1.2: Audio Stream Segregation of Multi-Pitch Music Signal Based on Time-Space Clustering Using Gaussian Kernel 2-Dimensional Model
Hirokazu Kameoka, Takuya Nishimoto, Shigeki Sagayama, University of Tokyo, Japan

AE-L1.3: Using Audio Fingerprinting for Duplicate Detection and Thumbnail Generation
Chris Burges, Microsoft Research, United States; Dan Plastina, Microsoft, United States; John Platt, Erin Renshaw, Henrique Malvar, Microsoft Research, United States

AE-L1.4: Comparison of Methods for Sparse Representation of Music Signals
Line Ørtoft Endelt, Anders la Cour-Harbo, Aalborg University, Denmark

AE-L1.5: Detecting pitch of singing voice in polyphonic audio
Yipeng Li, DeLiang Wang, The Ohio State University, United States

AE-L1.6: A General Approach to Block-Based Physical Modeling with Mixed Modeling Strategies for Digital Sound Synthesis
Stefan Petrausch, José Escolano, Rudolf Rabenstein, University of Erlangen-Nuremberg, Germany

AE-L2: Auditory Modeling and Hearing Aids

AE-L2.1: Spectro-Temporal Discrimination in Cochlear Implant Users
Elisabet Molin, Arne Leijon, KTH (Royal Institute of Technology), Sweden; Helene Wallsten, KI, Karolinska Institute, Sweden

AE-L2.2: Preservation of Interaural Time Delay for Binaural Hearing Aids Through Multi-Channel Wiener Filtering Based Noise Reduction
Thomas J. Klasen, Marc Moonen, Tim Van den Bogaert, Jan Wouters, Katholieke Universiteit Leuven, Belgium

AE-L2.3: Relating the Acoustic Space of Vowels to the Perceptual Space in Cochlear Implant Simulations
Chuping Liu, University of Southern California, United States; Qian-Jie Fu, House Ear Institute, United States

AE-L2.4: Clap Detection and Discrimination for Rhythm Therapy
Nathan Lesser, Daniel Ellis, Columbia University, United States

AE-L2.5: A Spectral Cues Preserving Compression Algorithm for Digital Hearing Aid
Xianbo Xiao, Guangshu Hu, Tsinghua University, China; Chunhong Liu, Beijing Xuanwu Hospital, China

AE-L2.6: On Subband Adaptive Modeling of Compression Hearing Aids
Michael Wirtzfeld, Vijay Parsa, University of Western Ontario, Canada

AE-P1: Loudspeaker and Microphone Array Signal Processing

AE-P1.1: Time Delay Estimation via Multichannel Cross-Correlation
Jingdong Chen, Yiteng (Arden) Huang, Bell Laboratories, Lucent Technologies, United States; Jacob Benesty, Universite du Quebec, INRS-EMT, Canada

AE-P1.2: Magnitude Least-Squares Fitting via Semidefinite Programming with Applications to Beamforming and Multidimensional Filter Design
Peter Kassakian, University of California, Berkeley, United States

AE-P1.3: A System for Separating Sound Sources Propagated in the Same Direction (Supplemental Multimedia Files available for this paper)
Kazuho Ono, Akio Ando, NHK Science and Technical Research Laboratories, Japan

AE-P1.4: Blind Extraction of a Dominant Source Signal from Mixtures of Many Sources (Supplemental Multimedia Files available for this paper)
Hiroshi Sawada, Shoko Araki, Ryo Mukai, Shoji Makino, NTT Corporation, Japan

AE-P1.5: A Subband Space Constrained Beamformer incorporating Voice Activity Detection
Alan Davis, Siow Yong Low, Sven Nordholm, Western Australian Telecomm Research Institute, Australia; Nedelko Grbic, Blekinge Institute of Technology, Sweden

AE-P1.6: A Blind Approach to Joint Noise and Acoustic Echo Cancellation
Siow Yong Low, Sven Nordholm, WATRI, Australia

AE-P1.7: Approximate expressions for the mean and the covariance of the maximum likelihood estimator for acoustic source localization
Vikas Raykar, Ramani Duraiswami, University of Maryland, College Park, United States

AE-P1.8: Joint Optimization of LCMV Beamforming and Acoustic Echo Cancellation for Automatic Speech Recognition
Wolfgang Herbordt, Satoshi Nakamura, ATR Spoken Language Translation Research Labs, Japan; Walter Kellermann, Universität Erlangen-Nürnberg, Germany

AE-P1.9: Reducing Musical Noise by a Fine-shift Overlap-add Method Applied to Source Separation Using a Time-frequency Mask (Supplemental Multimedia Files available for this paper)
Shoko Araki, Shoji Makino, Hiroshi Sawada, Ryo Mukai, NTT Corporation, Japan

AE-P1.10: Blind Source Separation Combining SIMO-Model-Based ICA and Adaptive Beamforming
Satoshi Ukai, Tomoya Takatani, Tsuyoshi Nishikawa, Hiroshi Saruwatari, Nara Institute of Science and Technology, Japan

AE-P1.11: EB-ESPRIT: 2D Localization of Multiple Wideband Acoustic Sources Using Eigen-Beams
Heinz Teutsch, Walter Kellermann, University of Erlangen-Nuremberg, Germany

AE-P1.12: Sound Source Localization for Circular Arrays of Directional Microphones
Yong Rui, Dinei Florêncio, Microsoft Research, United States; Warren Lam, Jinyan Su, Microsoft, United States

AE-P1.13: Simultaneous Localization of Multiple Sound Sources using Blind Adaptive MIMO Filtering
Herbert Buchner, Robert Aichner, Jochen Stenglein, Heinz Teutsch, Walter Kellermann, University of Erlangen-Nuremberg, Germany

AE-P1.14: A New Beamformer Design Algorithm for Microphone Arrays
Ivan Tashev, Henrique Malvar, Microsoft Research, United States

AE-P2: Echo Cancellation, Active Noise Control, and Transducers

AE-P2.1: Nonlinear Acoustic Echo Cancellation Using Adaptive Orthogonalized Power Filters
Fabian Kuech, Andreas Mitnacht, Walter Kellermann, University of Erlangen-Nuremberg, Germany

AE-P2.2: Nonlinear Multichannel Active Noise Control Using Partial Updates
Giovanni L. Sicuranza, University of Trieste, Italy; Alberto Carini, University of Urbino, Italy

AE-P2.3: Spectral Domain B-spline Identification in Acoustic Echo Cancellation
Yuriy Zakharov, Tim Tozer, University of York, United Kingdom

AE-P2.4: Experimental Evaluation of an Active Speech Control Method
Kazuhiro Kondo, Kiyoshi Nakagawa, Yamagata University, Japan

AE-P2.5: Modified Gauss-Seidel Affine Projection Algorithm for Acoustic Echo Cancellation
Felix Albu, Constantine Kotropoulos, Aristotle University of Thessaloniki, Greece

AE-P2.6: ANC Algorithms That Do Not Require Identifying the Secondary Path
Dayong Zhou, Victor DeBrunner, University of Oklahoma, United States

AE-P2.7: An instrumental variable method for adaptive feedback cancellation in hearing aids
Ann Spriet, K.U. Leuven, Belgium; Ian Proudler, QinetiQ Ltd., United Kingdom; Marc Moonen, Jan Wouters, K.U. Leuven, Belgium

AE-P2.8: A Family of Selective-Tap Algorithms for Stereo Acoustic Echo Cancellation
Andy Khong, Patrick Naylor, Imperial College London, United Kingdom

AE-P2.9: New Aspects of Combining Echo Cancellers with Beamformers
Karl-Dirk Kammeyer, University of Bremen, Germany; Markus Kallinger, Alfred Mertins, University of Oldenburg, Germany

AE-P2.10: A Study of Doubletalk Detection Performance in the Presence of Acoustic Echo Path Changes
Per Åhgren, Uppsala University, Sweden; Andreas Jakobsson, Karlstad University, Sweden

AE-P2.11: Application of Kalman and RLS Adaptive Algorithms to Non-linear Loudspeaker Controler Parameter Estimation: a Case Study
Ricardo Ribeiro, António Serralheiro, Moisés Piedade, INESC-ID, Portugal

AE-P2.12: Multi-Channel Active Noise Control with Freely Movable Error Microphones
Yoshinobu Kajikawa, Yasuo Nomura, Kansai University, Japan

AE-P2.13: Noise-Robust Double-Talk Detection Based on Normalized Cross Correlation and a Noise Offset
Akihiko Sugiyama, NEC Corporation, Japan; Jérome Berclaz, Ecole Polytechnique Federale de Lausanne, Sweden; Miki Sato, NEC Corporation, Japan

AE-P3: Broadband and Perceptual Coding

AE-P3.1: Parameter Analysis for GLZ Audio Compression
Zeph Landau, City College of New York, United States; Darko Kirovski, Microsoft Research, United States

AE-P3.2: Open Loop Rate-Distortion Optimized Audio Coding
Fredrik Nordén, Mads Græsbøll Christensen, Søren Holdt Jensen, Aalborg University, Denmark

AE-P3.3: Linear AM Decomposition for Sinusoidal Audio Coding
Mads Christensen, Aalborg University, Denmark; Andreas Jakobsson, Karlstad University, Sweden; Søren Vang Andersen, Søren Holdt Jensen, Aalborg University, Denmark

AE-P3.4: Improving Coding Efficiency for MPEG-4 Audio Scalable Lossless Coding
Rongshan Yu, Xiao Lin, Susanto Rahardja, Institute for Infocomm Research, Singapore; Chi Chung Ko, National University of Singapore, Singapore; Haibin Huang, Institute for Infocomm Research, Singapore

AE-P3.5: Characterization of a Cascade LMS Predictor
Dong-Yan Huang, Institute for Infocomm Research, Singapore; Xinrong Su, National University of Singapore, Singapore; Arumugam Nallanathan, National University of Singapore, Singapore

AE-P3.6: High Resolution Spherical Quantization of Sinusoidal Parameters Using A Perceptual Distortion Measure
Pim Korten, Jesper Jensen, Richard Heusdens, Delft University of Technology, Netherlands

AE-P3.7: Frequency Warping in Low Delay Audio Coding
Stefan Wabnik, Gerald Schuller, Ulrich Kraemer, Jens Hirschfeld, Fraunhofer IDMT, Germany

AE-P3.8: Partial Spectral Loss Concealment in Transform Coders
Anisse Taleb, Patrik Sandgren, Ingemar Johansson, Daniel Enström, Stefan Bruhn, Ericsson Research, Sweden

AE-P3.9: Evaluating Low Bitrate Scalable Audio Quality Using Advanced Version of Peaq and Energy Equalization Approach
Rahul Vanam, Charles Creusere, New Mexico State University, United States

AE-P3.10: Jointly Optimal Time Segmentation, Component Selection and Quantization for Sinusoidal Coding of Audio and Speech
Richard Heusdens, Jesper Jensen, Delft University of Technology, Netherlands

AE-P3.11: Rate-Distortion Allocation for Time-Frequency Dependent Audio Coding
Ricky Der, Peter Kabal, McGill University, Canada; Wai-Yip Chan, Queen's University, Canada

AE-P3.12: AM/FM Rate Estimation for Time-Varying Sinusoidal Modeling
Mototsugu Abe, Sony Corporation, Japan; Julius Smith, Stanford University, United States

AE-P4: Applications to Music

AE-P4.1: Automatic Transcription of Drum Sequences using Audiovisual Features
Olivier Gillet, GET-ENST (Telecom Paris), France; Gaël Richard, Télécom Paris, France

AE-P4.2: Acoustic Guitar Plucking Point Estimation in Real Time
Henri Penttinen, Jaakko Siiskonen, Vesa Välimäki, Helsinki University of Technology, Finland

AE-P4.3: Audio Fingerprinting Based on Normalized Spectral Subband Centroids
Jin S. Seo, Minho Jin, Sunil Lee, Dalwon Jang, Seungjae Lee, Chang D. Yoo, Korea Advanced Institute of Science and Technology, Republic of Korea

AE-P4.4: Music Transcription Using an Instrument Model
Jun Yin, Terence Sim, Ye Wang, Arun Shenoy, National University of Singapore, Singapore

AE-P4.5: Explicit Onset Modeling of Sinusoids Using Time Reassignment
Aaron Master, Kyogu Lee, Stanford University, United States

AE-P4.6: Multiple Fundamental Frequency Estimation Of Polyphonic Music Signals
Chunghsin Yeh, Axel Röbel, Xavier Rodet, IRCAM, France

AE-P4.7: Tracking Partials for the Sinusoidal Modeling of Polyphonic Sounds
Mathieu Lagrange, Sylvain Marchand, LaBRI Université Bordeaux 1, France; Jean-Bernard Rault, France Télécom R&D, France

AE-P4.8: Periodic Signal Extraction with Global Amplitude and Phase Modulation for Music Signal Decomposition (Supplemental Multimedia Files available for this paper)
Mahdi Triki, Dirk T. M. Slock, Eurecom Institute, France

AE-P4.9: Implementation of Finite Difference Schemes for the Wave Equation on FPGA
Halil Erdem Motuk, Roger Woods, Stefan Bilbao, Queen's University Belfast, United Kingdom

AE-P4.10: Beat Tracking With A Two State Model
Matthew Davies, Mark Plumbley, Queen Mary, University of London, United Kingdom

AE-P4.11: Instrument recognition in polyphonic music
Slim Essid, GET-ENST (Telecom Paris), France; Gaël Richard, Télécom Paris, France; Bertrand David, GET-ENST (Telecom Paris), France

AE-P4.12: Mapping Speech Signals to Musical Scores Through Prosodic Extraction (Supplemental Multimedia Files available for this paper)
Boyanna Trayanova, Dale Joachim, Tulane University, United States

AE-P4.13: Training Ircam's Score Follower
Arshia Cont, Diemo Schwarz, Norbert Schnell, IRCAM, France

AE-P5: Spatial and Multichannel Audio, Audio for Multimedia

AE-P5.1: D.O.A. Estimation With Singular Noise Correlation Matrix
Akira Tanaka, Masaaki Miyakoshi, Hokkaido University, Japan

AE-P5.2: Accurate Audio-Segment Classification Using Feature Extraction Matrix
Naoki Nitanda, Miki Haseyama, Hideo Kitajima, Hokkaido University, Japan

AE-P5.3: A Sector-Based, Frequency-Domain Approach to Detection and Localization of Multiple Speakers
Guillaume Lathoud, Mathew Magimai.-Doss, IDIAP Research Institute, Switzerland

AE-P5.4: Iterative Algorithms for Multichannel Equalization in Sound Reproduction Systems
Mathieu Guillaume, Yves Grenier, ENST, France; Gaël Richard, Télécom Paris, France

AE-P5.5: Plenacoustic Function on the Circle with Application to HRTF Interpolation
Thibaut Ajdler, Luciano Sbaiz, Martin Vetterli, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland

AE-P5.6: A Noise Reduction System in Arbitrary Noise Environments and Its Applications to Speech Enhancement and Speech Recognition
Junfeng Li, Xugang Lu, Masato Akagi, Japan Advanced Institute of Science and Technology, Japan

AE-P5.7: Automatic Estimation of Reverberation Time from Binaural Signals
Sampo Vesa, Aki Härmä, Helsinki University of Technology, Finland

AE-P5.8: The Manifolds of Spatial Hearing
Ramani Duraiswami, Vikas Raykar, University of Maryland, College Park, United States

AE-P5.9: A Modal Space Approach to Soundfield Reproduction in Reverberant Rooms
Terence Betlehem, Thushara Abhayapala, The Australian National University, Australia

AE-P5.10: Spatial Coding Based on the Extraction of Moving Sound Sources in Wavefield Synthesis
Toshiyuki Kimura, Nagoya University, Japan; Kazuhiko Kakehi, Chukyo University, Japan; Kazuya Takeda, Nagoya University, Japan; Fumitada Itakura, Meijo University, Japan

AE-P5.11: Reverberation Morphing Using Cepstrum Decomposition (Supplemental Multimedia Files available for this paper)
Yoshinori Takahashi, Mikio Tohyama, Waseda University, Japan; Hiroaki Nomura, Kure National College of Technology, Japan

AE-P5.12: Universal Speech/Audio Coding Using Hybrid ACELP/TCX Techniques
Bruno Bessette, Roch Lefebvre, University of Sherbrooke, Canada; Redwan Salami, VoiceAge Corporation, Canada

AE-P5.13: Adaptive Pitch-Based Speech Detection for Hands-Free Applications
Ahmad Rami Abu-El-Quran, Rafik A. Goubran, Carleton University, Canada

SPCOM-L1: Ultra Wideband Communication I

SPCOM-L1.1: A Novel Modulation Diversity Assisted Ultrawideband Communication System
Jin Tang, Zhengyuan Xu, University of California, Riverside, United States

SPCOM-L1.2: Blind Timing Acquisition for Ultra-Wideband Multi-User Ad Hoc Access
Xiliang Luo, Georgios B. Giannakis, University of Minnesota, United States

SPCOM-L1.3: Statistical Analysis of a Transmit-Reference UWB Wireless Communication System
Quang Hieu Dang, Alle-Jan van der Veen, António Trindade, Delft University of Technology, Netherlands

SPCOM-L1.4: Scale-Lag Diversity Reception in Mobile Wideband Channels
Adam R. Margetts, Philip Schniter, The Ohio State University, United States; Ananthram Swami, Army Research Laboratory, United States

SPCOM-L1.5: A Multicarrier Chip-interleaved Multiuser UWB System
Kai Yang, Xiaodong Wang, Columbia University, United States

SPCOM-L1.6: Coding Assisted Iterative Channel Estimation for Impulse Radio Ultra-Wide Band Communication Systems
Yabo Li, Xiang-Gen Xia, University of Delaware, United States; Richard Yao, Wenwu Zhu, Microsoft Research Asia, China

SPCOM-L2: DSL Communication

SPCOM-L2.1: Joint Multiuser Detection and Optimal Spectrum Balancing for Digital Subscriber Lines
Vincent Chan, Wei Yu, University of Toronto, Canada

SPCOM-L2.2: Downstream VDSL channel tracking using limited feedback for crosstalk precompensated schemes
Jérôme Louveaux, Alle-Jan van der Veen, TU Delft, Netherlands

SPCOM-L2.3: An Semi-Blind Eigen Approach to Time-Domain Equalizer Design for VDSL Systems
Yuan-Pei Lin, Li-Han Liang, National Chiao Tung University, Taiwan; See-May Phoong, National Taiwan University, Taiwan

SPCOM-L2.4: Cosine Modulated Multitone for Very High-speed Digital Subscriber Lines
Behrouz Farhang-Boroujeny, Lekun Lin, University of Utah, United States

SPCOM-L2.5: Joint Design of Interpolation Filters and Frequency Equalizers in DMT Systems for xDSL Applications
Mu-Huo Cheng, Pey-Huah Lu, Jia-Fu Wu, National Chiao Tung University, Taiwan

SPCOM-L2.6: Optimum Multiflow DMT with Cyclic Prefix
Xujie Song, Soura Dasgupta, University of Iowa, United States

SPCOM-L3: Co-operative Relays

SPCOM-L3.1: Exploiting the Finite-Alphabet Property for Cooperative Relays
Bin Liu, Biao Chen, Syracuse University, United States; Rick Blum, Lehigh University, United States

SPCOM-L3.2: Non-Regenerative MIMO Relaying with Channel State Information
Olga Muñoz Medina, Josep Vidal Manzano, Adrián Agustín de Dios, Technical University of Catalonia (UPC), Spain

SPCOM-L3.3: Is amplify-and-forward practically better than decode-and-forward or vice versa?
Meng Yu, Jing (Tiffany) Li, Lehigh University, United States

SPCOM-L3.4: Combating Synchronization Errors in Cooperative Relays
Yan Mei, Yingbo Hua, University of California, Riverside, United States; Ananthram Swami, Army Research Laboratory, United States; Babak Daneshrad, University of California, Los Angeles, United States

SPCOM-L3.5: Cooperative Transmission for Random Access Wireless Networks
Rui Lin, Athina Petropulu, Drexel University, United States

SPCOM-L3.6: Message Propagation in a Cooperative Network with Asynchronous Receptions
Birsen Sirkeci-Mergen, Anna Scaglione, Cornell University, United States

SPCOM-L4: MIMO Capacity and Performance

SPCOM-L4.1: Sum-rate Maximization and Sum-power Minimization for 2-User (2,2) Downlink Systems Using Generalized Zero-forcing
Kai-Kit Wong, University of Hong Kong, Hong Kong SAR of China

SPCOM-L4.2: Multiple-Antenna Capacity in the Low-Power Regime: Channel Knowledge and Correlation
Eduard Jorswieck, Holger Boche, Fraunhofer Institute for Telecommunications, Germany

SPCOM-L4.3: Spatial Limits to Mutual Information Scaling in Multi-Antenna Systems
Tony Pollock, Michael Williams, Thushara Abhayapala, National ICT Australia, Australia

SPCOM-L4.4: Limiting Throughput of MIMO Ad Hoc Networks
Biao Chen, Syracuse University, United States; Michael Gans, AFRL/IFGC, United States

SPCOM-L4.5: Analysis of Ricean MIMO Channels Based on A Virtual Channel Representation
Wei Zha, Venugopal Veeravalli, University of Illinois at Urbana-Champaign, United States

SPCOM-L4.6: Capacity of Spatio-Temporally Structured MIMO Channels With Estimation Errors
Thomas Svantesson, Bhaskar Rao, University of California, San Diego, United States

SPCOM-L5: MIMO Precoding and Transmit Design

SPCOM-L5.1: MIMO Transmission Subspace Tracking with Low Rate Feedback
Jingnong Yang, Douglas B. Williams, Georgia Institute of Technology, United States

SPCOM-L5.2: MMSE Transmit Optimization for Multiuser Multiantenna Systems
Shuying Shi, Fraunhofer MCI HHI for Telecommunications, Germany; Martin Schubert, Fraunhofer MCI HHI for Telecommunications, Germany

SPCOM-L5.3: Sensitivity Analysis of a Suboptimal Precoding Scheme for Block Channels with Respect to Channel Inaccuracies
Athanasios Liavas, Technical University of Crete, Greece

SPCOM-L5.4: Robust exploitation of spatial and multi-user diversity in limited-feedback systems
José Vicario, Carles Antón-Haro, CTTC, Spain

SPCOM-L5.5: Linear Precoding and DFE Equalization Achieve the Diversity vs Multiplexing Optimal Tradeoff
Abdelkader Medles, Dirk T. M. Slock, Eurecom Institute, France

SPCOM-L5.6: Constrained Capacity of Linear Precoded ARQ in MIMO Wireless Systems
Haitong Sun, University of California, Davis, United States; Harvind Samra, University of California, Davis, United States; Zhi Ding, University of California, Davis, United States; Jonathan Manton, University of Melbourne, Australia

SPCOM-L6: MIMO Channel Estimation and Decoding

SPCOM-L6.1: A Branch and Bound Approach to speed up the Sphere Decoder
Mihailo Stojnic, Haris Vikalo, Babak Hassibi, California Institute of Technology, United States

SPCOM-L6.2: Performance Analysis of Quasi-Maximum-Likelihood Detector Based on Semi-Definite Programming
Mikalai Kisialiou, Zhi-Quan Luo, University of Minnesota, United States

SPCOM-L6.3: On Implementing the Blind ML Receiver for Orthogonal Space-Time Block Codes
Wing-Kin Ma, Ba-Ngu Vo, University of Melbourne, Australia; Timothy Davidson, McMaster University, Canada; P. C. Ching, Chinese University of Hong Kong, Hong Kong SAR of China

SPCOM-L6.4: Space-Time Diversity Design for Blind Estimation and Equalization over Frequency Selective Channels
Tongtong Li, Qi Ling, Michigan State University, United States; Zhi Ding, University of California, Davis, United States

SPCOM-L6.5: Linear Equalizers for Flat Rayleigh MIMO Channels
Ahmadreza Hedayat, Aria Nosratinia, Naofal Al-Dhahir, University of Texas, Dallas, United States

SPCOM-L6.6: Robust MSE Equalizer Design for MIMO Flat-Fading Channels in the Presence of Model Uncertainties
Yongfang Guo, Bernard Levy, University of California, Davis, United States

SPCOM-L7: Channel Estimation and Equalization

SPCOM-L7.1: Separation of Convolutive Mixtures of Linear Modulated Signals Using Constant Modulus Algorithm
Pierre Jallon, Antoine Chevreuil, Philippe Loubaton, Université de Marne-la-Vallée, France; Pascal Chevalier, Thal`es Communication EDS/SPM/SBP, France

SPCOM-L7.2: Performance Analysis and Training Power Allocation for Channel Estimation Using Superimposed Training
Jitendra Tugnait, Xiaohong Meng, Auburn University, United States

SPCOM-L7.3: SISO and MIMO Channel Estimation and Symbol Detection using Data-Dependent Superimposed Training
Mounir Ghogho, Des McLernon, Enrique Alameda-Hernandez, University of Leeds, United Kingdom; Ananthram Swami, US Army Research Lab, United States

SPCOM-L7.4: Joint Blind Channel Estimation and Interference Suppression for OFDM Systems
Khaled Amleh, Pennsylvania State University at Mont Alto, United States; Hongbin Li, Stevens Institute of Technology, United States

SPCOM-L7.5: Blind Channel Estimation for Precoded OFDM System
Ruifeng Zhang, Drexel University, United States

SPCOM-L7.6: Reduced-Complexity Equalization for MC-CDMA Systems over Time-Varying Channels
Luca Rugini, Paolo Banelli, University of Perugia, Italy; Geert Leus, Delft University of Technology, Netherlands

SPCOM-L8: Turbo Decoding and Iterative Receivers

SPCOM-L8.1: A Complexity-Constrained Particle Filtering Algorithm for MAP Equalization of Frequency-Selective MIMO Channels
Manuel Vázquez, Universidade da Coruña, Spain; Joaquín Míguez, Universidad Carlos III de Madrid, Spain

SPCOM-L8.2: A Refined Information Geometric Interpretation of Turbo Decoding
John Walsh, C. Richard Johnson, Jr., Cornell University, United States; Phillip Regalia, Institut National des Telecommunications, France

SPCOM-L8.3: Performance and Convergence Analysis of Joint Source-Channel Turbo Schemes with Variable Length Codes
Xavier Jaspar, Luc Vandendorpe, Université catholique de Louvain, Belgium

SPCOM-L8.4: Improved Embedded Parameter Estimation for Bit-Interleaved Coded Modulation with Iterative Decoding
Frederik Simoens, Marc Moeneclaey, GHENT University, Belgium

SPCOM-L8.5: A Recursive Side-Decoder For Multiple Description Quantization
Pradeepa Yahampath, University of Manitoba, Canada

SPCOM-L8.6: Particle Filter Algorithms for Joint Blind Equalization/Decoding of Convolutionally Coded Signals
Claudio Bordin, Luiz Baccala, Universidade de Sao Paulo, Brazil

SPCOM-P1: Wireless Networks: Relaying and Cross-Layer Issues

SPCOM-P1.1: Reduced-Complexity Network Coding for Multicasting over Ad hoc Networks
Yunnan Wu, Sun-Yuan Kung, Princeton University, United States

SPCOM-P1.2: Stability of Wireless Relays in Mobile Ad Hoc Networks
Zhenzhen Ye, Yingbo Hua, University of California, Riverside, United States

SPCOM-P1.3: On the Effectiveness of Cooperative Diversity in Ad Hoc Networks: A MAC Layer Study
Haitao Zheng, Microsoft Research Asia, China; Yan Zhu, Tshinghua University & MSRA, China; Cong Shen, University of California, Los Angeles, United States; Xiaodong Wang, Columbia University, United States

SPCOM-P1.4: Decode-Based Differential Modulation for Wireless Relay Networks
Qiang Zhao, Hongbin Li, Stevens Institute of Technology, United States

SPCOM-P1.5: Cooperative Random Access with Long PN Spreading Codes
Yingqun Yu, Alejandro Ribeiro, University of Minnesota, United States; Nikolaos Sidiropoulos, Technical University of Crete, Greece; Georgios B. Giannakis, University of Minnesota, United States

SPCOM-P1.6: Performance Analysis for Multi-Node Decode-And-Forward Relaying in Cooperative Wireless Networks
Ahmed Sadek, Weifeng Su, K. J. Ray Liu, University of Maryland, United States

SPCOM-P1.7: A Coded Modulation Technique for Cooperative Diversity in Wireless Networks
Santosh Nagaraj, Mark Bell, Purdue University, United States

SPCOM-P1.8: Joint Control of Communication Subystems for Low-Energy Image Transmission
Hunsoo Choo, Kaushik Roy, Purdue University, United States

SPCOM-P1.9: Real-Time Implementation of Cross-Layer Optimization: Multi-Antenna High Speed Uplink Packet Access
Thomas Haustein, Fraunhofer Heinrich-Hertz Institute, Germany; Martin Wiczanowski, Holger Boche, Technical University of Berlin, Germany; Egon Schulz, Siemens AG, Germany

SPCOM-P1.10: Opportunistic Multiuser Scheduling in Downlink TDMA MISO Systems
Chuxiang Li, Xiaodong Wang, Columbia University, United States

SPCOM-P1.11: Capacity and Linear Precoding for Packet Retransmissions
Harvind Samra, Haitong Sun, Zhi Ding, University of California, Davis, United States

SPCOM-P1.12: An Axiomatic Approach to Resource Allocation and Interference Balancing
Holger Boche, Fraunhofer Heinrich-Hertz Institute, Germany; Martin Schubert, Slawomir Stanczak, Fraunhofer German-Sino Lab for Mobile Commun. MCI, Germany; Marcin Wiczanowski, Technical University of Berlin, Germany

SPCOM-P2: (Semi)blind Algorithms and ICA

SPCOM-P2.1: Blind Deconvolution of Multi-Input Single-Output Systems with Binary Sources
Konstantinos Diamantaras, TEI of Thessaloniki, Greece; Theophilos Papadimitriou, Democritus University of Thrace, Greece

SPCOM-P2.2: On Blind Equalization of M-ary Bi-Orthogonal Signaling
Andrew G. Klein, C. Richard Johnson, Jr., Cornell University, United States; Pierre Duhamel, Supélec, France

SPCOM-P2.3: Blind Channel Equalization Based on Second Order Statistics
Ahmed Farid, McMaster University, Canada; Zhi-Quan Luo, University of Minnesota, United States; Zhi Ding, University of California, Davis, United States

SPCOM-P2.4: Semi-Blind Sparse Channel Estimation with Constant Modulus Symbols
Müjdat Cetin, Massachusetts Institute of Technology, United States; Brian Sadler, Army Research Laboratory, United States

SPCOM-P2.5: Semi-blind Channel Estimation at the Receiver for Steered-STS Transmit Antenna Architecture in CDMA2000
Alexandr Kuzminskiy, Francis Mullany, Constantinos Papadias, Lucent Technologies, United Kingdom

SPCOM-P2.6: Source separation by quadratic contrast functions: a blind approach based on any higher-order statistics
Marc Castella, Université de Marne-la-Vallée, France; Saloua Rhioui, Eric Moreau, STD, ISITV, France; Jean-Christophe Pesquet, Université de Marne-la-Vallée, France

SPCOM-P2.7: Adaptive Blind SIMO Identification: Derivation of an Optimal Step Size for the Unconstrained Multichannel LMS Algorithm
Yiteng (Arden) Huang, Bell Laboratories, Lucent Technologies, United States; Jacob Benesty, Universite du Quebec, INRS-EMT, Canada; Jingdong Chen, Bell Laboratories, Lucent Technologies, United States

SPCOM-P2.8: Semi-Blind Constant Modulus Equalization with Optimal Step Size
Vicente Zarzoso, University of Liverpool, United Kingdom; Pierre Comon, CNRS / UNSA, France

SPCOM-P2.9: Cramer-Rao Lower Bound for Linear Independent Component Analysis
Zbynek Koldovský, Petr Tichavský, Institute of Information Theory and Automation, Czech Republic; Erkki Oja, Helsinki University of Technology, Finland

SPCOM-P2.10: A Semi-Blind MIMO Channel Estimation Scheme for MRT
Aditya Jagannatham, Chandra Murthy, Bhaskar Rao, University of California, San Diego, United States

SPCOM-P2.11: Comparison of Training, Blind and Semi Blind Equalizers in MIMO Fading Systems using Capacity as measure
Kavitha Veeraruna, Vinod Sharma, Indian Institute of Science, India

SPCOM-P2.12: Performance Analysis for Pilot-Embedded Data-Bearing Approach in Space-Time Coded MIMO Systems
Chaiyod Pirak, University of Maryland / Chulalongkorn University, United States; Z. Jane Wang, K. J. Ray Liu, University of Maryland, United States; Somchai Jitapunkul, Chulalongkorn University, Thailand

SPCOM-P2.13: Semi-blind Channel Estimation and Data Detection for OFDM Systems Over Frequency-Selective Fading Channels
Tao Cui, Chintha Tellambura, University of Alberta, Canada

SPCOM-P3: Ultra Wideband Communication II

SPCOM-P3.1: Data Detection for UWB Transmitted Reference Systems with Inter-Pulse Interference
Zhengyuan Xu, University of California, Riverside, United States; Brian Sadler, Army Research Laboratory, United States; Jin Tang, University of California, Riverside, United States

SPCOM-P3.2: Performance of POR Multiuser Detection for UWB Communications
Ping Liu, Arkansas Tech University, United States; Zhengyuan Xu, University of California, Riverside, United States

SPCOM-P3.3: Two-Stage Time-Hopping Sequences with Zero Correlation Zone for Quasi-Synchronous THSS-UWB Systems (Supplemental Multimedia Files available for this paper)
Zhenyu Zhang, Fanxin Zeng, Chongqing Communication Institute, China; Lijia Ge, Chongqing University, China

SPCOM-P3.4: A Frequency Domain Approach to Channel Estimation, Detection, and Interference Cancellation for Impulse Radio Systems
Andrea Tonello, Roberto Rinaldo, University of Udine, Italy

SPCOM-P3.5: Analysis of a Synchronization Algorithm for Non-Coherent UWB Receivers
Ning He, Cihan Tepedelenlioglu, Arizona State University, United States

SPCOM-P3.6: Low-Complexity Multiuser Detection and Reduced-Rank Wiener Filters for Ultra-Wideband Multiple Access
Zhi Tian, Michigan Technological University, United States; Hongya Ge, New Jersey Institute of Technology, United States; Louis Scharf, Colorado State University, United States

SPCOM-P3.7: Rate-Scalable UWB for WPAN with Heterogeneous Nodes
Liuqing Yang, University of Florida, United States

SPCOM-P3.8: Model of Multi-Band OFDM Interference on Broadband QPSK Receivers
Celestino Corral, Shahriar Emami, Gregg Rasor, Freescale Semiconductor, United States

SPCOM-P3.9: A New Transceiver Design For Multi-band UWB System
Zhongshan Wu, Jianqiang He, Guoxiang Gu, Louisiana State University, United States

SPCOM-P3.10: Frequency Domain Multiuser Detectors for Ultra-Wideband Short-Range Communications
Simone Morosi, Tiziano Bianchi, University of Florence, Italy

SPCOM-P4: Sensor Networks III

SPCOM-P4.1: Achieving High-Accuracy Distributed Localization in Sensor Networks
Jose Costa, Neal Patwari, Alfred O. Hero III, University of Michigan, United States

SPCOM-P4.2: Throughput and Energy Efficiency of Sensor Networks with Multiuser Receivers and Spatial Diversity
Wenjun Li, Huaiyu Dai, North Carolina State University, United States

SPCOM-P4.3: A Large Deviations Approach to Sensor Scheduling for Detection of Correlated Random Fields
Youngchul Sung, Lang Tong, Cornell University, United States; Vincent Poor, Princeton University, United States

SPCOM-P4.4: A Game Theoretical Approach for Transmission Strategies in Slotted ALOHA Networks with Multi-Packet Reception
Vikram Krishnamurthy, Minh Hanh Ngo, University of British Columbia, Canada

SPCOM-P4.5: On the Effects of Phase Estimation Errors on Collaborative Beamforming in Wireless Ad Hoc Networks
Hideki Ochiai, Yokohama National University, Japan; Patrick Mitran, Harvard University, United States; H. Vincent Poor, Princeton University, United States; Vahid Tarokh, Harvard University, United States

SPCOM-P4.6: A Two-Stage DPCM Scheme for Wireless Sensor Networks
Huiyu Luo, Yu-Ching Tong, Gregory Pottie, University of California, Los Angeles, United States

SPCOM-P4.7: On the Use of Channel State for Energy Efficient Information Retrieval in Sensor Networks
Qing Zhao, University of California, Davis, United States

SPCOM-P4.8: On Optimal Transmission Algorithms for Slotted ALOHA Sensor Networks with Multi-Packet Reception
Minh Hanh Ngo, Vikram Krishnamurthy, University of British Columbia, Canada

SPCOM-P4.9: Minimum Energy Decentralized Estimation in Sensor Network with Correlated Sensor Noise
Alexey Krasnopeev, Jin-Jun Xiao, Zhi-Quan Luo, University of Minnesota, United States

SPCOM-P4.10: Dense Wireless Sensor Networks with Mobile Sinks
Liang Song, Dimitrios Hatzinakos, University of Toronto, Canada

SPCOM-P4.11: Generalized Group Testing for Retrieving Distributed Information
Yao-Win Hong, Anna Scaglione, Cornell University, United States

SPCOM-P4.12: An Optimal Distributed and Adaptive Source Coding Strategy Using Rate-Compatible Punctured Convolutional Codes
Jing (Tiffany) Li, Hend Alqamzi, Lehigh University, United States

SPCOM-P4.13: Sensor Network Source Localization via Projection onto Convex Sets (POCS)
Alfred O. Hero III, Doron Blatt, University of Michigan, United States

SPCOM-P5: Turbo Detection and Equalization

SPCOM-P5.1: Turbo Multi-user Receiver for Asynchronous Multi-user OFDM Systems
Hyejung Jung, Michael Zoltowski, Purdue University, United States

SPCOM-P5.2: Soft-Decision Metrics for Coded Orthogonal Signaling in Symmetric Alpha-Stable Noise
Michael Souryal, National Institute of Standards and Technology, United States; Erik Larsson, Bojan Peric, Branimir Vojcic, George Washington University, United States

SPCOM-P5.3: Parameter estimation in a space time bit-interleaved coded modulation scheme for DS-CDMA
Mamoun Guenach, Frederik Simoens, Marc Moeneclaey, GHENT University, Belgium

SPCOM-P5.4: Reduced State Equalization of Multilevel Turbo Coded Signals
Oguz Bayat, Bahram Shafai, Northeastern University, United States; Osman Nuri Ucan, Istanbul University, Turkey

SPCOM-P5.5: Predicting the Performance and Convergence Behavior of a Turbo-Equalization Scheme
Valery Ramon, Luc Vandendorpe, Université catholique de Louvain, Belgium

SPCOM-P5.6: Belief-Directed Sequential Probabilistic Data Association Multiuser Detector
Yufei Huang, Yufang Yin, University of Texas, San Antonio, United States; Jianqiu Zhang, University of New Hampshire, United States

SPCOM-P5.7: Symbol Detection with Time-varying Unknown Phase by Expectation Propagation
Tao Wei, Yufei Huang, University of Texas, San Antonio, United States; Yuan Qi, Massachusetts Institute of Technology, United States

SPCOM-P5.8: Low-complexity Bernoulli-Gaussian detection of blindly precoded OFDM
Arnaud Santraine, Patrick Duvaut, Conexant, United States

SPCOM-P5.9: Turbo Multiuser Detection for Asynchronous Coded CDMA Systems in the Presence of Intercell Interference
Shahram Talakoub, Behnam Shahrrava, University of Windsor, Canada

SPCOM-P5.10: Reduced Complexity Turbo Detection for Coded DS-CDMA Systems Employing BPSK Modulations
Messaoud Ahmed Ouameur, Daniel Massicotte, Universite du Quebec a Trois-Rivieres, Canada

SPCOM-P5.11: Soft Iterative Decoding for Overloaded CDMA
Gianmarco Romano, Francesco Palmieri, Seconda Università di Napoli, Italy; Peter Willett, University of Connecticut, United States

SPCOM-P5.12: Soft decoding of VLC encoded data for robust transmission of packetized video (Supplemental Multimedia Files available for this paper)
Chang-Ming Lee, Michel Kieffer, Pierre Duhamel, LSS - CNRS - Supélec - Université Paris-Sud, France

SPCOM-P5.13: A Fast Error Protection Scheme for Transmission of Embedded Coded Images over Unreliable Channels and Fixed Packet Size
Nikola Sprljan, Marta Mrak, Ebroul Izquierdo, Queen Mary, University of London, United Kingdom

SPCOM-P6: Channel Estimation and Modeling

SPCOM-P6.1: Time-Frequency Channel Modeling and Estimation of Multi-Carrier Spread Spectrum Communication Systems
Seda Senay, Yeditepe University, Turkey; Aydin Akan, Istanbul University, Turkey; Luis F. Chaparro, University of Pittsburgh, United States

SPCOM-P6.2: Application of the Evidence Procedure to the Estimation of the Number of Paths in Wireless Channels
Dmitriy Shutin, Graz University of Technology, Austria; Bernard H. Fleury, Aalborg University, Denmark

SPCOM-P6.3: Prediction of Fading Envelopes with Diffuse Spectra
Raphael J. Lyman, Adam Sikora, New Mexico State University, United States

SPCOM-P6.4: On the Bounds of the Non-coherent Capacity of Gauss-Markov Fading Channels
Jianqiu Zhang, University of New Hampshire, United States

SPCOM-P6.5: Effect of Channel Estimation Errors on the Performance of MMSE-SIC with Equal BER Power Control in Uplink MC-CDMA
Mizhou Tan, Yeheskel Bar-Ness, New Jersey Institute of Technology, United States

SPCOM-P6.6: Iterative Interference Suppression for Pseudo Random Postfix OFDM based Channel Estimation
Markus Muck, Marc De Courville, Xavier Miet, Motorola Labs, France; Pierre Duhamel, CNRS / Supelec, France

SPCOM-P6.7: Spatial Algorithms for Blind Channel Estimation
Y. M. S. Sasiri Yapa, National University of Singapore, Singapore; A. Rahim Leyman, Institute for Infocomm Research, Singapore

SPCOM-P6.8: Semi-Blind Channel Estimation for Rapidly Time-Varying Channels
Geert Leus, Delft University of Technology, Netherlands

SPCOM-P6.9: Channel Equalization and Phase Noise Suppression For OFDM Systems in a Time-Varying Frequency Selective Channel Using Particle Filtering
Derek Yee, James P. Reilly, Thia Kirubarajan, McMaster University, Canada

SPCOM-P6.10: Efficient OFDM Symbol Estimation Algorithm over Time-Frequency-Selective Fading Channels
Hoojin Lee, Edward J. Powers, University of Texas, Austin, United States; Joonhyuk Kang, Information and Communications University, Republic of Korea

SPCOM-P6.11: Kalman filter of channel modes in time-varying wireless systems
Roberto Bosisio, Monica Nicoli, Umberto Spagnolini, Politecnico di Milano, Italy

SPCOM-P6.12: MSE-Optimal Training for Linear Time-Varying Channels
Arun Kannu, Philip Schniter, The Ohio State University, United States

SPCOM-P6.13: PEP-Based Optimal Training for MIMO Systems in Wireless Channels
Khawza Ahmed, Cihan Tepedelenlioglu, Andreas Spanias, Arizona State University, United States

SPCOM-P6.14: The Energy Efficiency of On-Off Keying with Partial CSI and Peak Power Constraints
Saswat Misra, Ananthram Swami, Army Research Laboratory, United States

SPCOM-P7: Acquistion, Synchronization and Tracking

SPCOM-P7.1: Unified Analysis of a Class of Blind Feedforward Symbol Timing Estimators Employing Second-Order Statistics
Yik-Chung Wu, Erchin Serpedin, Texas A&M University, United States

SPCOM-P7.2: Integration based Frequency Offset Estimate for the MIMO-OFDM System
Kyeong Jin Kim, Nokia Research Center, United States; Ronald A. Iltis, University of California, Santa Barbara, United States

SPCOM-P7.3: One-shot Subspace Based Method for Blind CFO Estimation for OFDM
Timo Roman, Visa Koivunen, Helsinki University of Technology, Finland

SPCOM-P7.4: Block Double Differential Design for OFDM with Carrier Frequency Offset
Xiaoli Ma, Auburn University, United States

SPCOM-P7.5: A Novel Adaptive Technique for Digital I/Q Imbalance Compensation in OFDM Receivers
Piergiorgio Capozio, Pratima Pai, Emanuela Vizzi, Godfrey Dacosta, STMicroelectronics, Italy

SPCOM-P7.6: Bounds on Joint Phase and Frequency Estimation for Pilot-assisted PSK/QAM Modulation
Feng Rice, University of Adelaide, Australia

SPCOM-P7.7: Bias Analysis of A Gain/phase/DC-offset Estimation Technique For Direct Frequency Conversion Modulators
Zhiwen Zhu, Xinping Huang, Communications Research Centre Canada, Canada

SPCOM-P7.8: Blind detection of interleaver parameters
Guillaume Sicot, Sebastien Houcke, ENST-Bretagne, France

SPCOM-P7.9: Improving MIMO Phase Noise Estimation by Exploiting Spatial Correlations
Niels Hadaschik, Meik Dörpinghaus, Andreas Senst, RWTH Aachen University, Germany; Ole Harmjanz, Uwe Käufer, Nokia Networks, Germany; Gerd Ascheid, Heinrich Meyr, RWTH Aachen University, Germany

SPCOM-P7.10: A Generalized BCJR Algorithm And Its Use In Turbo Synchronization
Jacob Gunther, David Keller, Todd Moon, Utah State University, United States

SPCOM-P7.11: Reduced-Complexity Per-Survivor Iterative Timing Recovery for Coded Partial Response Channels
Piya Kovintavewat, Nakhon Pathom Rajabhat University, Thailand; John R. Barry, Georgia Institute of Technology, United States; M. Fatih Erden, Erozan M. Kurtas, Seagate Technology, United States

SPCOM-P8: Multi-carrier, OFDM, and DMT Communication

SPCOM-P8.1: Peak-to-Average Power Ratio Reduction in OFDM with Blind Selected Pilot Tone Modulation
Ning Chen, G. Tong Zhou, Georgia Institute of Technology, United States

SPCOM-P8.2: Maximum Likelihood Inter-Carrier Interference Suppression for Wireless OFDM with Null Subcarriers
Shuichi Ohno, Hiroshima University, Japan

SPCOM-P8.3: Impulse Noise Protection for Multicarrier Communication Systems
Hossein Sedarat, Benjamin Miller, Kevin Fisher, 2Wire, Inc., United States

SPCOM-P8.4: Joint Synchronization and Channel Estimation in Uplink OFDMA Systems
Man-On Pun, C.-C. Jay Kuo, University of Southern California, United States; Michele Morelli, University of Pisa, Italy

SPCOM-P8.5: Channel Estimation and Prediction for Adaptive OFDMA/TDMA Uplinks, Based on Overlapping Pilots
Mikael Sternad, Daniel Aronsson, Uppsala University, Sweden

SPCOM-P8.6: MSE-OFDM: a New OFDM Transmission Technique with Improved System Performance
Jean-Yves Chouinard, Laval University, Canada; Xianbin Wang, Yiyan Wu, Communications Research Centre Canada, Canada

SPCOM-P8.7: A Minimax Optimal Decoder for OFDM Over Unknown Frequency-Selective Fading Channels
Ofer Shayevitz, Meir Feder, Tel-Aviv University, Israel

SPCOM-P8.8: Design of MAI-Free MC-CDMA Systems over Frequency-Selective Fading Channels via Codeword Selection
Shang-Ho Tsai, University of Southern California, United States; Yuan-Pei Lin, National Chiao Tung University, Taiwan; C.-C. Jay Kuo, University of Southern California, United States

SPCOM-P8.9: A Near-Optimal Multiuser Detector for MC-CDMA systems Using Geometrical Approach
Amor Nafkha, Christian Roland, Emmanuel Boutillon, LESTER Lab. / UBS University, France

SPCOM-P8.10: Optimal One-Tap Equalization for DMT Transceivers with insufficient Guard Interval
Tanja Karp, Texas Tech University, United States; Carsten Bauer, Norbert J. Fliege, Mannheim University, Germany

SPCOM-P8.11: A Novel Single Lag Auto-Correlation Minimization (SLAM) Algorithm for Blind Adaptive Channel Shortening
Rab Nawaz, Jonathon A. Chambers, Cardiff University, United Kingdom

SPCOM-P8.12: On the Performance of Certain Fixed-Complexity Multiuser Detectors in FEXT-limited Vectored DSL Systems
Georgios Latsoudas, Nikolaos Sidiropoulos, Technical University of Crete, Greece

SPCOM-P8.13: An Efficient Implementation for MMSE Based MIMO Time Domain Equalizer
Li Youming, Amir Leshem, Bar-Ilan University, Israel

SPCOM-P8.14: Exploiting Spatial Diversity in Cooperative Copper Units
Oliver Moreno, Telecom brest, France

SPCOM-P9: CDMA and Spread Spectrum Communication

SPCOM-P9.1: Multiuser Multichannel Estimation and Detection With Side User Information in Space-Time Coded CDMA Systems
Ping Xiong, Stella Batalama, SUNY at Buffalo, United States

SPCOM-P9.2: RAKE Finger Placement for CDMA Downlink Equalization
Haichang Sui, Elias Masry, Bhaskar Rao, University of California, San Diego, United States

SPCOM-P9.3: Multiuser Detector for Hybrid CDMA Systems based on the Bareiss Algorithm
Angela Bifano, Vittorio Rampa, Politecnico di Milano, Italy

SPCOM-P9.4: On The Performance of Space Time Transmit Diversity in the Downlink of W-CDMA With and Without Equalization
Belkacem Mouhouche, Télécom Paris, France; Philippe Loubaton, Université de Marne-la-Vallée, France; Karim Abed-Meraim, Télécom Paris, France; Nicolas Ibrahim, Wavecom S.A., France

SPCOM-P9.5: Analysis and Optimization of Interleave-Division Multiple-Access Communication Systems
Kai Li, Xiaodong Wang, Columbia University, United States; Ping Li, City University of Hong Kong, China

SPCOM-P9.6: Novel Adaptive Methods for Narrowband Interference Cancellation in CDMA Multi-User Detection
Xiaoning Lu, K. C. Ho, University of Missouri-Columbia, United States

SPCOM-P9.7: Blind Adaptive Multi-User Detection for Multi-Carrier DS-CDMA Systems in Frequency Selective Fading Channels
Ali Jamoos, Eric Grivel, Mohamed Najim, Equipe Signal & Image, UMR 5131 LAPS, France

SPCOM-P9.8: Efficient Adaptive Blind MAI Suppression in DS/CDMA by Embedded Constraint Parallel Projection Techniques
Masahiro Yukawa, Renato Cavalcante, Isao Yamada, Tokyo Institute of Technology, Japan

SPCOM-P9.9: Fast Adaptive Channel Estimation Algorithms for CDMA Systems
Amar Abd El-Sallam, Curtin University of Technology, Australia; Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany

SPCOM-P9.10: Enhanced Blind Subspace-Based Signature Waveform Estimation in CDMA Systems with Circular Noise
Keyvan Zarifi, University of Duisburg-Essen, Germany; Alex B. Gershman, McMaster University, Canada

SPCOM-P9.11: Minimize the Total Power Consumption for Multiuser Video Transmission over CDMA Wireless Network: a Two-step Approach
Xiaoan Lu, Yao Wang, Elza Erkip, David Goodman, Polytechnic University, United States

SPCOM-P9.12: Novel wireless location approach for W-CDMA systems based on multiple sliding correlators
Andreu Urruela, Technical University of Catalonia (UPC), Spain; Erik Ström, Mats Rydström, Chalmers University of Technology, Sweden

SPCOM-P9.13: Optimal design of spectrum constrained signal sets with correlation analysis
Tao Wang, Weiyong Yan, Curtin University of Technology, Australia; Zhuquan Zang, Western Australian Telecomm Research Institute, Australia

SPCOM-P10: Applications in Communications

SPCOM-P10.1: Differential Correlation for Galileo/GPS Receivers
Andreas Schmid, André Neubauer, Infineon Technologies AG, Germany

SPCOM-P10.2: Indoors Data Communications using Airborne Ultrasound
Sverre Holm, University of Oslo, Norway; Ole B. Hovind, Svein Rostad, Rune Holm, Sonitor Technologies AS, Norway

SPCOM-P10.3: Probability Distribution Estimation for an Integrated Coding and Equalization Scheme in Optical Communications Systems
Wenze Xi, Tülay Adali, University of Maryland, Baltimore County, United States; Yi Cai, Tyco Telecommunications, United States

SPCOM-P10.4: Optical CDMA Detection by Orthogonal Matching Pursuit
Tolga Kurt, Günes Karabulut, Abbas Yongaçoglu, University of Ottawa, Canada

SPCOM-P10.5: Support Vector Machines Based Data Detection For Holographic Data Storage Systems
Lakshmi Ramamoorthy, Carnegie Mellon University, United States; Mehmet Keskinoz, Sabanci University, Turkey; Bhagavatula Vijayakumar, Carnegie Mellon University, United States

SPCOM-P10.6: Flexible Frequency-Band Reallocation Network Based on Variable Oversampled Complex-Modulated Filter Banks
Håkan Johansson, Per Löwenborg, Linköping University, Sweden

SPCOM-P10.7: Understanding the Topology of a Telephone Network via Internally-Sensed Network Tomography
Michael Rabbat, University of Wisconsin-Madison, United States; John Treichler, Applied Signal Technology, United States; Sally Wood, Santa Clara University, United States; Michael Larimore, Applied Signal Technology, United States

SPCOM-P10.8: A Cost-Effective Wideband MIMO Channel Sounder and Initial Co-located 2.4GHz and 5.2GHz Measurements
Bodhaswar Maharaj, Louis Linde, University of Pretoria, South Africa; Jon Wallace, Michael Jensen, Brigham Young University, United States

SPCOM-P10.9: Exact Symbol Error Rate and Total Degradation Performance of Nonlinear M-QAM Fading Channels
Yu Cao, Mohamed Ibnkahla, Queen's University, Canada

SPCOM-P10.10: CFAR Detection of a Known FSK-Modulated Signal in White Gaussian Noise with Unknown Variance
Ian Atkinson, Farzad Kamalabadi, University of Illinois at Urbana-Champaign, United States

SPCOM-P10.11: Bayesian Feedback Detection for Adaptive Transmission Systems
Anthony Ekpenyong, Yih-Fang Huang, University of Notre Dame, United States

SPCOM-P10.12: Performance Analysis of Practical Combinatorial Mechanism with Exponential Backoff and Retransmission Cutoff (Supplemental Multimedia Files available for this paper)
Ying Weng, Chaohuan Hou, Chinese Academy of Sciences, China

SPCOM-P10.13: Low Cost Decision Feedback Equalizer (DFE) Design for Giga-Bit Systems
Chih Hsiu Lin, An-Yeu (Andy) Wu, NTU, Taiwan

SPCOM-P10.14: FFT-Accelerated Iterative MIMO Chip Equalizer Architecture For CDMA Downlink
Yuanbin Guo, Dennis McCain, Nokia Inc., United States; Joseph.R. Cavallaro, Rice University, United States

SPCOM-P11: Iterative MIMO Decoding

SPCOM-P11.1: EM-Based Receiver Design of LDPC-Coded MIMO Systems Over Unknown Fading Channels
Jun Zheng, Bhaskar Rao, University of California, San Diego, United States

SPCOM-P11.2: Max-Log-MAP Sphere Decoder
Mong Suan Yee, Toshiba Research Europe Limited, United Kingdom

SPCOM-P11.3: MIMO Detection Using Markov Chain Monte Carlo Techniques for Near-capacity Performance
Haidong Zhu, University of Utah, United States; Zhenning Shi, Australian National University, Australia; Behrouz Farhang-Boroujeny, University of Utah, United States

SPCOM-P11.4: Reducing the Average Complexity of ML Detection using Semidefinite Relaxation
Joakim Jaldén, Björn Ottersten, Royal Institute of Technology (KTH), Sweden; Wing-Kin Ma, University of Melbourne, Australia

SPCOM-P11.5: Reduced-Complexity ML Detection For Coded MIMO Systems Using An Absolute-Value Search
Monisha Ghosh, Philips Research, United States; Pen Li, Philips Semiconductors, United States; Xuemei Ouyang, Samsung Information System America, United States

SPCOM-P11.6: A New Low-Complexity Demapper for High-Performance Iterative MIMO: Information-Theoretic and BER Analyses
John Koshy, Joseph Liberti, Timothy Hoerning, Telcordia Technologies, United States

SPCOM-P11.7: Temporal Partition Particle Filtering for Multiuser Detectors with Mutually Orthogonal Sequences
Soner Özgür, Douglas B. Williams, Georgia Institute of Technology, United States

SPCOM-P11.8: Channel Estimation in Turbo-BLAST Detectors Using EM Algorithm
Mohammad-Ali Khalighi, IETR Laboratory, France; Joseph Boutros, ENST, France

SPCOM-P11.9: Blind Symbol Detection for Multiple-Input Multiple-Output Systems via Particle Filtering
Ke Deng, Qinye Yin, Yinkuo Meng, Xi'an Jiaotong University, China

SPCOM-P11.10: On Phase Correct Blind Deconvolution of Flat MIMO Channels Exploiting Channel Encoding
Ansgar Scherb, Volker Kuehn, Karl-Dirk Kammeyer, Universität Bremen, Germany

SPCOM-P11.11: A New Closed-Form Solution for Blind MIMO FIR Channel Estimation with Colored Sources
Jun Fang, National University of Singapore, Singapore; A. Rahim Leyman, Yong-Huat Chew, Institute for Infocomm Research, Singapore

SPCOM-P11.12: Soft Demodulation and Unequal Power Allocation for Digital Modulation Schemes
Thomas Brüggen, Christina Schulte-Hillen, Peter Vary, RWTH Aachen University, Germany

SPCOM-P12: MIMO Space-time Code Design

SPCOM-P12.1: Achieving the Welch Bound with Difference Sets
Pengfei Xia, University of Minnesota, United States; Shengli Zhou, University of Connecticut, United States; Georgios B. Giannakis, University of Minnesota, United States

SPCOM-P12.2: Optimal Norm Form Integer Space-Time Codes for Two Antenna MIMO Systems
Jian-Kang Zhang, McMaster University, Canada; Gen Yuan Wang, Villanova University, United States; Kon Max Wong, McMaster University, Canada

SPCOM-P12.3: Construction of Coherent Space Time Codes from Non-Coherent Ones
Oliver Henkel, Fraunhofer MCI HHI for Telecommunications, Germany

SPCOM-P12.4: Single-Symbol Decodable Differential Space-Time Modulation Based on QO-STBC
Chau Yuen, Yong Liang Guan, Nanyang Technological University, Singapore; Tjeng Thiang Tjhung, Institute for Infocomm Research, Singapore

SPCOM-P12.5: Super Orthogonal Differential Space-Time Trellis Coding and Decoding
Dong Wang, Xiang-Gen Xia, University of Delaware, United States

SPCOM-P12.6: On the Performance of Super-Orthogonal Space-Time Codes for Correlated MIMO Channels
Sau-Hsuan Wu, C.-C. Jay Kuo, University of Southern California, United States

SPCOM-P12.7: Space-time Coding over MIMO Channels with Impulsive Noise
Ping Gao, Cihan Tepedelenlioglu, Arizona State University, United States

SPCOM-P12.8: Space-Time Code Designs with Non-Vanishing Determinants for Three, Four and Six Transmitter Antennas
Genyuan Wang, Villanova University, United States; Jian-Kang Zhang, McMaster University, Canada; Yimin Zhang, Villanova University, United States; Kon Max Wong, McMaster University, Canada

SPCOM-P12.9: Combining Circulant Space-Time Coding with IFFT/FFT and Spreading
Peilu Ding, Jianqi Wang, Purdue University, United States; Guido Dietl, Munich University of Technology, Germany; Michael Zoltowski, David Love, Purdue University, United States

SPCOM-P12.10: Trace-Orthogonal Space-Time Coding for Multiuser Systems
Sergio Barbarossa, Antonio Fasano, University of Rome "La Sapienza", Italy

SPCOM-P12.11: The Efficient Implementation of Reed-Solomon High Rate Erasure Resilient Codes
Jin Li, Microsoft Research, United States

SPCOM-P12.12: Error Floor Investigation and Girth Optimization for Certain Types of Low-Density Parity Check Codes
Lingyan Sun, Carnegie Mellon University, United States; Hongwei Song, Agere System, United States; Bhagavatula Vijayakumar, Carnegie Mellon University, United States

SPCOM-P12.13: S-Code: New MDS Array Codes with Optimal Encoding
Raj Katti, Xiaoyu Ruan, North Dakota State University, United States

SPCOM-P13: MIMO Transceiver Design

SPCOM-P13.1: Design of Block Transceivers with MMSE Decision Feedback Detection
Fang Xu, Timothy Davidson, Jian-Kang Zhang, Scarlett Chan, Max Wong, McMaster University, Canada

SPCOM-P13.2: Linear Precoding for MIMO Wireless Correlated Channels with Non-zero Means: K factor Analysis, Extension to Non-orthogonal STBC
Mai Vu, Arogyaswami Paulraj, Stanford University, United States

SPCOM-P13.3: Successive optimization Tomlinson-Harashima precoding (SO THP) for multi-user MIMO systems
Veljko Stankovic, Martin Haardt, Ilmenau University of Technology, Germany

SPCOM-P13.4: A Novel Tree-Based Scheduling Algorithm For The Downlink Of Multi-User MIMO Systems With ZF Beamforming
Martin Fuchs, Giovanni Del Galdo, Martin Haardt, Ilmenau University of Technology, Germany

SPCOM-P13.5: Comparison of Multiuser Diversity using STBC and Transmit Beamforming with Outdated Feedback
Qian Ma, Cihan Tepedelenlioglu, Arizona State University, United States

SPCOM-P13.6: A Multi User Beamforming Scheme for Downlink MIMO Channels Based on Maximizing Signal-to-Leakage Ratios
Alireza Tarighat, Mirette Sadek, Ali H. Sayed, University of California, Los Angeles, United States

SPCOM-P13.7: On Spatial Covariance Matrices for Downlink Eigen-Beamforming in Multi-Carrier CDMA
Thomas Sälzer, France Telecom R&D, France; David Mottier, Mitsubishi Electric ITE-TCL, France

SPCOM-P13.8: Conditional Mean Estimator for the Gramian Matrix of Complex Gaussian Random Variables
Frank Dietrich, Felix Hoffmann, Wolfgang Utschick, Munich University of Technology, Germany

SPCOM-P13.9: Physical Layer Characterization of MIMO Systems by Means of Multiobjective Optimization
Johannes Brehmer, Wolfgang Utschick, Munich University of Technology, Germany

SPCOM-P13.10: Joint Data Detection for Punctured ARQ Diversity Systems
Jeremy Roberson, Xiaofei Dong, Zhi Ding, University of California, Davis, United States

SPCOM-P13.11: Interference-Free Multi-User MIMO-OFDM
Jonathan Duplicy, Jérôme Louveaux, Luc Vandendorpe, Université catholique de Louvain, Belgium

SPCOM-P13.12: Some Properties of the Capacity of MIMO Systems with Co-Channel Interference
Sigen Ye, Rick Blum, Lehigh University, United States

SPTM-L1: Applications of Particle Filtering

SPTM-L1.1: Auxiliary Particle Filtering for Detection in ARCH Noise
Showan Ashrafi, Hamidreza Amindavar, Amirkabir University of Technology, Iran (Islamic Republic of); Rodney Lynn Kirlin, University of Victoria, Canada

SPTM-L1.2: A Density-Assisted Particle Filter Algorithm for Target Tracking with Unknown Ballistic Coefficient
Marcelo Bruno, Anton Pavlov, Instituto Tecnologico de Aeronautica, Brazil

SPTM-L1.3: tracking of time-frequency components using particle filtering
Corentin Dubois, IRCCyN UMR 6597, France; Manuel Davy, LAGIS UMR 8146, France; Jérôme Idier, IRCCyN UMR 6597, France

SPTM-L1.4: Online Bayesian Estimation of Hidden Markov Models with Unknown Transition Matrix and Applications to IEEE 802.11 Networks
Tom Vercauteren, INRIA Sophia-Antipolis, France; Alberto Lopez Toledo, Xiaodong Wang, Columbia University, United States

SPTM-L1.5: Joint Detection/Estimation of Multipath Effects for the Global Positioning System
Audrey Giremus, Jean-Yves Tourneret, Tésa, France

SPTM-L1.6: Target tracking through a coordinated turn
Mark R. Morelande, University of Melbourne, Australia; Neil Gordon, Defence Science & Technology Organisation, Australia

SPTM-L2: Analysis of Adaptive Filtering Algorithms

SPTM-L2.1: A Recursive Estimation of the Condition Number in the RLS Algorithm
Jacob Benesty, Universite du Quebec, INRS-EMT, Canada; Tomas Gänsler, Agere Systems, United States

SPTM-L2.2: Which Constant Modulus Criterion is Better for Blind Adaptive Filtering: CM(1,2) or CM(2,2) ?
Maurice Bellanger, CNAM, France

SPTM-L2.3: Steady-State Performance of Convex Combinations of Adaptive Filters
Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal, Universidad Carlos III de Madrid, Spain; Ali H. Sayed, University of California, Los Angeles, United States

SPTM-L2.4: Robust Normalised LMS Filtering
Malcolm Macleod, QinetiQ Ltd., United Kingdom

SPTM-L2.5: A New Analytical Model for the NLMS Algorithm
Guillaume Barrault, Marcio Costa, Jose Bermudez, Arcanjo Lenzi, Federal University of Santa Catarina, Brazil

SPTM-L2.6: Adaptive IIR Filtering: Convergence Speed Properties in the Undermodelled Case
Phillip Burt, University of São Paulo, Brazil; Phillip Regalia, Institut National des Telecommunications, France

SPTM-L3: Parameter Estimation - Theory and Methods

SPTM-L3.1: MSE Estimation of Multichannel Signals with Model Uncertainties
Amir Beck, Yonina C. Eldar, Aharon Ben-Tal, Technion - Israel Institute of Technology, Israel

SPTM-L3.2: Minimax Estimators Dominating the Least-Squares Estimator
Zvika Ben-Haim, Yonina C. Eldar, Technion - Israel Institute of Technology, Israel

SPTM-L3.3: Parameter estimation with missing data via equalization-maximization
Petre Stoica, Uppsala University, Sweden; Luzhou Xu, Jian Li, University of Florida, United States

SPTM-L3.4: Non-Parametric Distributed Quantization-Estimation Using Wireless Sensor Networks
Alejandro Ribeiro, Georgios B. Giannakis, University of Minnesota, United States

SPTM-L3.5: On Estimating the Signal to Noise Ratio from BPSK Signals
Christoph Mecklenbräuker, Forschungszentrum Telekommunikation Wien, Austria; Steffen Paul, Infineon Technolonies AG, Germany

SPTM-L3.6: Theoretical Analysis of an Improved Covariance Matrix Estimator in non-Gaussian Noise
Frederic Pascal, ONERA, France; Philippe Forster, GEA, France; Jean-Philippe Ovarlez, ONERA, France; Pascal Larzabal, ENS Cachan, France

SPTM-L4: Nonlinear Systems

SPTM-L4.1: Nonlinear Behaviors of Bandpass Sigma Delta Modulators with Stable System Matrices
Wing-Kuen Ling, King's College London, United Kingdom; Yuk-Fan Ho, Joshua D. Reiss, Queen Mary, University of London, United Kingdom; Xinghuo Yu, Royal Melbourne Institute of Technology, Australia

SPTM-L4.2: A Signal-processing Interpretation of the Riemann Zeta Function
Robert Adams, Analog Devices, Inc., United States

SPTM-L4.3: EKENS: A Learning on Nonlinear Blindly Mixed Signals
Wai Yie Leong, John Homer, University of Queensland, Australia

SPTM-L4.4: Non-Linear Dimension Reduction with Tangent Bundle Approximation
Jorge Silva, ISEL/ISR, Portugal; Jorge Marques, IST/ISR, Portugal; João Lemos, INESC-ID / IST, Portugal

SPTM-L4.5: A New Generation of Iterative Transform Algorithms for Phase Contrast Tomography
Heinz Bauschke, University of Guelph, Canada; Patrick Combettes, Université Pierre et Marie Curie - Paris 6, France; Russell Luke, University of Delaware, United States

SPTM-L4.6: Identification of Nonlinear, Memoryless Systems Using Chebyshev Nodes
Janez Jeraj, V. John Mathews, University of Utah, United States

SPTM-L5: AR/ARMA System Modeling and Identification

SPTM-L5.1: A Criterion for Vector Autoregressive Model Selection Based on Kullback's Symmetric Divergence
Abd-krim Seghouane, National ICT Australia Limited, Australia

SPTM-L5.2: Lattice-Ladder Structure For 2D ARMA Filters
Ender Mete Eksioglu, Ahmet Hamdi Kayran, Istanbul Technical University, Turkey

SPTM-L5.3: Frequency-Domain Continuous-Time AR Modeling Using Non-Uniformly Sampled Measurements
Jonas Gillberg, Fredrik Gustafsson, Linköping University, Sweden

SPTM-L5.4: 2D ARMA Parameter Identification Using a Hybrid Lattice Design
Nursen Sari, TUBITAK MRC ITRI, Turkey; Ahmet Hamdi Kayran, Istanbul Technical University, Turkey

SPTM-L5.5: An Approach to ARMA System Identification at a Very Low Signal-To-Noise Ratio
Shaikh Anowarul Fattah, Wei-Ping Zhu, M. Omair Ahmad, Concordia University, Canada

SPTM-L5.6: The Variational EM Algorithm for On-line Identification of Extended AR Models
Václav Šmídl, UTIA, Czech Republic; Anthony Quinn, Trinity College Dublin, Ireland

SPTM-L6: Signal Restoration and Reconstruction

SPTM-L6.1: Signal Recovery due to Rotational Pixel Misalignment
Shayan Srinivasa, Steven McLaughlin, Georgia Institute of Technology, United States

SPTM-L6.2: Reconstruction of Coupling Profiles for Scattering Media by the Schur Algorithm Combined with an Extrapolation Method
Taejoon Kim, Icsoo Oe, ETRI, Republic of Korea; Joohwan Chun, Korea Advanced Institute of Science and Technology, Republic of Korea

SPTM-L6.3: Signal Reconstruction from Concentrated STFT Peaks
Douglas Nelson, U.S. Department of Defense, United States

SPTM-L6.4: Phasereconstruction Receiver with Compensation of Nonlinearities
Dieter Brückmann, University of Wuppertal, Germany; Markus Hammes, André Neubauer, Infineon Technologies AG, Germany

SPTM-L6.5: Varying Weight Trimmed Mean Filter for the Restoration of Impulse Noise Corrupted Images
De Zhang, Schlumberger, United States; Donald Kouri, University of Houston, United States

SPTM-L6.6: Esophageal Voices: Glottal Flow Restoration
Begoña García, Javier Vicente, Ibon Ruiz, Asier Alonso, Estivaliz Loyo, University of Deusto, Spain

SPTM-L7: Nonlinear Filtering

SPTM-L7.1: Improved Particle Filtering Schemes for Target Tracking
Zhe Chen, Thia Kirubarajan, McMaster University, Canada; Mark R. Morelande, University of Melbourne, Australia

SPTM-L7.2: Kernelized Set-Membership Approach to Nonlinear Adaptive Filtering
Amaresh Malipatil, Yih-Fang Huang, University of Notre Dame, United States; Srinivas Andra, Kristin Bennett, Rensselaer Polytechnic Institute, United States

SPTM-L7.3: Polynomial Weighted Median Filtering
Kenneth E. Barner, Tuncer Aysal, University of Delaware, United States

SPTM-L7.4: Weighted Median Filters for Multichannel Signals
Yinbo Li, Jan Bacca Rodriguez, Gonzalo Arce, University of Delaware, United States

SPTM-L7.5: Wavelet Leader based Multifractal Analysis
Bruno Lashermes, ENS Lyon, France; Stéphane Jaffard, CNRS - Univ. Paris XII, France; Patrice Abry, ENS Lyon, France

SPTM-L7.6: Iterative Equalization for Chaotic Communications Systems
Mahmut Ciftci, Texas Instruments, United States; Douglas B. Williams, Georgia Institute of Technology, United States

SPTM-L8: Signal Enhancement and Noise Reduction

SPTM-L8.1: Relevance of H-infinity filtering for speech enhancement
David Labarre, Eric Grivel, Mohamed Najim, ESI - LAP - UMR 5131, France; Nicolaï Christov, Technical University of Sofia, Bulgaria

SPTM-L8.2: Multi-Channel Speech Dereverberation Based on a Statistical Model of Late Reverberation
Emanuël Habets, Technische Universiteit Eindhoven, Netherlands

SPTM-L8.3: Method of Image Enhancement By Splitting-Signals
Fatma Arslan, Artyom Grigoryan, University of Texas, San Antonio, United States

SPTM-L8.4: Generalized Gamma Modeling of Speech and its Online Estimation for Speech Enhancement (Supplemental Multimedia Files available for this paper)
Tran Huy Dat, Kazuya Takeda, Fumitada Itakura, Nagoya University, Japan

SPTM-L8.5: Analysis of Noise Reduction in Redundant Expansions Under Distributed Processing Requirements
Christopher Rozell, Don Johnson, Rice University, United States

SPTM-L8.6: A Fast Running Hartley Transform Algorithm and its Application in Adaptive Signal Enhancement
Zhiyue Lin, University of Kansas Medical Center, United States; Fuliang Yin, Dalian University of Technology, China; Richard McCallum, University of Kansas Medical Center, United States

SPTM-P1: Sampling, Extrapolation and Interpolation

SPTM-P1.1: Minimax Subspace Sampling in the Presence of Noise
Yonina C. Eldar, Technion - Israel Institute of Technology, Israel

SPTM-P1.2: Reconstruction of 2-D Signals from Unions of Shifted Lattices
Hamid Behmard, Western Oregon University, United States

SPTM-P1.3: Optimal Filter Bank Reconstruction of Periodically Undersampled Signals
Ryan Prendergast, Truong Nguyen, University of California, San Diego, United States

SPTM-P1.4: Quantization Noise Shaping on Arbitrary Frame Expansions
Petros Boufounos, Alan Oppenheim, Massachusetts Institute of Technology, United States

SPTM-P1.5: Is Spatial Super-resolution feasible using overlapping projectors?
Aditi Majumder, University of California, Irvine, United States

SPTM-P1.6: A Method for Efficient Interpolation of Discrete-Time Signals By Using a Blue-Noise Mapping Method
Zeljko Ignjatovic, Mark Bocko, University of Rochester, United States

SPTM-P1.7: Reducing Sampling Error by Prolate Spheroidal Wave Functions and Fractional Fourier Transform
Jian-Jiun Ding, Soo-Chang Pei, National Taiwan University, Taiwan

SPTM-P1.8: Optimal Design of Fractional Delay FIR Filters without Band-Limiting Assumption
Masaaki Nagahara, Yutaka Yamamoto, Kyoto University, Japan

SPTM-P1.9: On sampling a subband of a bandpass signal by periodically nonuniform sampling
Yumei Wen, Jing Wen, Ping Li, Chongqing University, China

SPTM-P1.10: Hybrid Wiener Filter
Mohammad Malik, National University of Sciences and Technology, Pakistan; John Deller, Michigan State University, United States

SPTM-P1.11: Exact Sampling Results for Signals with Finite Rate of Innovation using Strang-Fix Conditions and Local Kernels
Pier Luigi Dragotti, Imperial College London, United Kingdom; Martin Vetterli, Thierry Blu, Swiss Federal Institute of Technology (EPFL), Switzerland

SPTM-P1.12: Fast Recovery Algorithms for Time Encoded Bandlimited Signals
Aurel A. Lazar, Columbia University, United States; Erno K. Simonyi, National Council of Hungary, Hungary; László T. Tóth, University of Technology and Economics, Hungary

SPTM-P1.13: Recursive Extended Window Interpolators Applied to the Design of IIR and Fractional Delay Filters
Grigore Braileanu, Gonzaga University, United States

SPTM-P2: System Modeling, Representation and Identification I

SPTM-P2.1: On Frequency Weighting in Autoregressive Spectral Estimation
Anders Blomqvist, Bo Wahlberg, Royal Institute of Technology (KTH), Sweden

SPTM-P2.2: Staying Rich: LTI Systems Which Preserve Signal Richness
P. P. Vaidyanathan, Borching Su, California Institute of Technology, United States

SPTM-P2.3: Enhanced Bezier Curve Models Incorporating Local Information
Ferdous Ahmed Sohel, Gour Karmakar, Laurence Dooley, John Arkinstall, Monash University, Australia

SPTM-P2.4: Sparse Representations for Multiple Measurement Vectors (MMV) in an Over-Complete Dictionary
Jie Chen, Xiaoming Huo, Georgia Institute of Technology, United States

SPTM-P2.5: Nonlinear Approximation with Redundant Dictionaries
Lasse Borup, Morten Nielsen, Aalborg University, Denmark; Rémi Gribonval, IRISA-INRIA, France

SPTM-P2.6: State-Space Digital Filters with Minimum L2-Sensitivity Subject to L2-Scaling Constraints
Takao Hinamoto, Ken-ichi Iwata, Hiroshima University, Japan; Wu-Sheng Lu, University of Victoria, Canada

SPTM-P2.7: Delayed Exponential Fitting By Best Tensor Rank-(R_1,R_2,R_3) Approximation
Rémy Boyer, Université Paris XI, France; Lieven De Lathauwer, CNRS, France; Karim Abed-Meraim, GET-ENST (Telecom Paris), France

SPTM-P2.8: Detection of a Reflective Layer in a Random Layered Medium Using Time Reversal
Oleg Poliannikov, Jean-Pierre Fouque, North Carolina State University, United States

SPTM-P2.9: Sequential Estimation of Stochastic Continuous-Time Signals from Sample Covariances
Magnus Mossberg, Karlstad University, Sweden

SPTM-P2.10: Time-Scale Canonical Model for Wideband System Characterization
Ye Jiang, Antonia Papandreou-Suppappola, Arizona State University, United States

SPTM-P2.11: On Propagation of Self-Similar Traffic Through an Energy-Conserving Wireless Gateway
Jie Yu, Athina Petropulu, Drexel University, United States

SPTM-P3: System Modeling, Representation and Identification II

SPTM-P3.1: Regularized Kernel-Based Wiener Filtering. Application to Magnetoencephalographic Signals Denoising.
Ibtissam Constantin, FORENAP, France; Cédric Richard, Régis Lengelle, Université de Technologie de Troyes, France; Laurent Soufflet, FORENAP, France

SPTM-P3.2: Optimal Alignment Algorithm for Context-Sensitive Hidden Markov Models
Byung-Jun Yoon, P. P. Vaidyanathan, California Institute of Technology, United States

SPTM-P3.3: Non-Orthogonal Zero-Diagonalization for Source Separation based on Time-Frequency Representations
El Mostafa Fadaili, Nadège Thirion-Moreau, Eric Moreau, University of Sud Toulon Var, France

SPTM-P3.4: TFARMA Models: Order Estimation and Stabilization
Michael Jachan, Gerald Matz, Franz Hlawatsch, Vienna University of Technology, Austria

SPTM-P3.5: Parametric Estimation of Cumulants
Yair Noam, Joseph Tabrikian, Ben-Gurion University of the Negev, Israel

SPTM-P3.6: Wavelet-Based Bayesian Analysis of Generalized Long-Memory Process
Alex Gonzaga, Akira Kawanaka, Sophia University, Japan

SPTM-P3.7: Vector Form EM and Suboptimal Joint State and Parameter Estimation
Weichang Li, Massachusetts Institute of Technology, United States; James Preisig, Woods Hole Oceanographic Institute, United States

SPTM-P3.8: Energy Efficient Channel Estimation in MIMO Systems
Sarod Yatawatta, Athina Petropulu, Drexel University, United States; Charles Graff, US Army RDECOM CERDEC STCD, United States

SPTM-P3.9: Rao-Blackwellised Particle Filtering for Blind System Identification
Michael J. Daly, James P. Reilly, McMaster University, Canada; Mark R. Morelande, Univeristy of Melbourne, Australia

SPTM-P3.10: Dynamic Selected Mapping for OFDM
Hua Qian, Chunpeng Xiao, Ning Chen, G. Tong Zhou, Georgia Institute of Technology, United States

SPTM-P4: Adaptive Systems and Filtering

SPTM-P4.1: Yet Another Subspace Tracker
Roland Badeau, Bertrand David, Gaël Richard, Télécom Paris, France

SPTM-P4.2: Roundoff Noise Analysis of Two Efficient Digital Filter Structures
Zixue Zhao, Gang Li, Jiong Zhou, Nanyang Technological University, Singapore

SPTM-P4.3: Analytical Study of the Performance Surface of Blind Equalizer in a Cosine Modulated Multicarrier Communication System
Lekun Lin, Behrouz Farhang-Boroujeny, University of Utah, United States

SPTM-P4.4: When is the Least-Mean Fourth Algorithm Mean-Square Stable?
Vítor Nascimento, University of São Paulo, Brazil; José Carlos Bermudez, Federal University of Santa Catarina, Brazil

SPTM-P4.5: Steady-State and Transient Analysis of Multichannel Filtered-X Affine Projection Algorithms
Alberto Carini, University of Urbino, Italy; Giovanni L. Sicuranza, University of Trieste, Italy

SPTM-P4.6: Estimation of the Frequency and Waveform of a Single-Tone Sinusoid Using an Offline-Optimized Adaptive Filter
Aykut Hocanin, Osman Kukrer, Eastern Mediterranean University, Turkey

SPTM-P4.7: L-infinity-NORM BASED PARTIAL-UPDATE ADAPTIVE FILTERING ALGORITHM FOR ECHO CANCELLATION
Abhishek Tandon, M. N. S. Swamy, M. Omair Ahmad, Concordia University, Canada

SPTM-P4.8: Nonparametric Density Estimation Based Independent Component Analysis via Particle Swarm Optimization
Dean Krusienski, William Jenkins, Pennsylvania State University, United States

SPTM-P4.9: Joint Estimation of States and Transition Functions of Dynamic Systems Using Cost-Reference Particle Filtering
Joaquín Míguez, Universidade da Coruña, Spain; Shanshan Xu, Mónica Bugallo, Petar Djuric, Stony Brook University, United States

SPTM-P4.10: A Robust RLS Algorithm for Adaptive Canonical Correlation Analysis
Javier Vía, Ignacio Santamaría, Jesús Pérez, University of Cantabria, Spain

SPTM-P4.11: Set-Membership Adaptive Filtering with Parameter-Dependent Error Bound Tuning
Li Guo, Yih-Fang Huang, University of Notre Dame, United States

SPTM-P4.12: Partial Update Subband Implementation of Complex Pseudo-Affine Projection Algorithm on Oversampled Filterbanks
Hamid Sheikhzadeh Nadjar, Kevin R. L. Whyte, Robert L. Brennan, AMI Semiconductor Canada, Canada

SPTM-P4.13: A Fast Converging and Self-Adjusting SHARF Algorithm
Omer Sezer, Mohammed Ferdjallah, University of Tennessee, United States

SPTM-P5: Stationary Signals and Spectrum Analysis

SPTM-P5.1: A Novel Method for Generating Complex Half-Band Filters
Mohamed Elfataoui, Gagan Mirchandani, University of Vermont, United States

SPTM-P5.2: Discrete Fractional Fourier Transform Based on New Nearly Tridiagonal Commuting Matrices
Soo-Chang Pei, Wen-Liang Hsue, Jian-Jiun Ding, National Taiwan University, Taiwan

SPTM-P5.3: Fast Statistically Efficient Algorithms for Single Frequency Estimation
Jeffrey Klein, Mindspeed, Inc., United States

SPTM-P5.4: Robust Frequency Estimation Based on Trimmed Correlation in Impulsive Environments
Binwei Weng, Kenneth E. Barner, University of Delaware, United States

SPTM-P5.5: Two-Dimensional Nonparametric Spectral Analysis in the Missing Data Case
Yanwei Wang, Jian Li, University of Florida, United States; Petre Stoica, Uppsala University, Sweden

SPTM-P5.6: Fourier Transform for the Directed Quincunx Lattice
Markus Püschel, Carnegie Mellon University, United States; Martin Rötteler, University of Waterloo, Canada

SPTM-P5.7: A New Least-Squares-Based Minimum Variance Spectral Estimation Fast Algorithm
Lin Wei, Larry Marple, Oregon State University, United States

SPTM-P5.8: Subband Decomposition using Multichannel AR Spectral Estimation
David Bonacci, Corinne Mailhes, Jean-Yves Tourneret, IRIT/ ENSEEIHT/ TeSA, France

SPTM-P5.9: On Confidence Intervals for the Coherence Function
Abdelhak M. Zoubir, Darmstadt University of Technology, Germany

SPTM-P5.10: Estimation of Autoregressive Parameters by the Constrained Total Least Square Algorithm Using a Bootstrap Method
Ning Zhou, John Pierre, University of Wyoming, United States

SPTM-P5.11: Regularized Spectral Analysis of Unevenly Spaced Data
Sébastien Bourguignon, Hervé Carfantan, Loïc Jahan, Laboratoire d'Astrophysique de l'OMP, France

SPTM-P5.12: LMI Characterization for The Convex Hull of Trigonometric Curves and Applications
Tuan Hoang, University of New South Wales, Australia; Son Tran, Toyota Institute of Technology, Japan; Ba-Ngu Vo, University of Melbourne, Australia; Truong Nguyen, University of California, San Diego, United States

SPTM-P6: Signal Restoration, Reconstruction and Enhancement

SPTM-P6.1: The Successive Mean Quantization Transform (Supplemental Multimedia Files available for this paper)
Mikael Nilsson, Mattias Dahl, Ingvar Claesson, Blekinge Institute of Technology, Sweden

SPTM-P6.2: A Speech Coder Post-Processor Controlled By Side-Information
Guillaume Fuchs, Roch Lefebvre, University of Sherbrooke, Canada

SPTM-P6.3: Two-Dimensional Closely Spaced Frequency Estimation Using Decimation Technique
Jing Li, Shuxun Wang, Fei Wang, Jilin University, China

SPTM-P6.4: Pile-Up Correction Algorithms for Nuclear Spectrometry
Thomas Trigano, Thomas Dautremer, Eric Barat, Antoine Souloumiac, CEA Saclay, France

SPTM-P6.5: Attenuated Embedding Estimators for Speech Signals (Supplemental Multimedia Files available for this paper)
Domenico Napoletani, George Mason University, United States; Carlos Berenstein, University of Maryland, College Park, United States; Timothy Sauer, Daniele Struppa, David Walnut, George Mason University, United States

SPTM-P6.6: Improvement of multi-mode-PCA based filtering using fourth order cumulants
Damien Muti, Fresnel Institute (CNRS), Univ. Aix-Marseille 3, France; Salah Borennane, Fresnel Institute (CNRS), EGIM, France

SPTM-P6.7: A Fast MAP Algorithm Using High Order Gibbs Priors
João Sanches, Jorge Marques, Instituto Superior Técnico, Portugal

SPTM-P6.8: Linearization of Loudspeaker Systems Using MINT and Volterra Filters
Yasuo Nomura, Yoshinobu Kajikawa, Kansai University, Japan

SPTM-P6.9: Coherent Modulation Spectral Filtering for Single-Channel Music Source Separation
Les Atlas, University of Washington, United States; Christiaan Janssen, Fraunhofer IIS, Germany

SPTM-P6.10: Time Average MSE Analysis for the First Order Sigma-Delta Modulator with the Inputs of Bandlimited Signals
Wen Chen, Chintha Tellambura, Univesity of Alberta, Canada

SPTM-P7: Nonstationary Signals and Time Series Analysis

SPTM-P7.1: A Robust MUSIC Estimator for Polynomial Phase Signals in alpha-Stable Noise
Mounir Djeddi, Hocine Belkacemi, Messaoud Benidir, Sylvie Marcos, Laboratoire des Signaux et Systèmes, France

SPTM-P7.2: EM-driven Stereo-like Gaussian Chirplet Mixture Estimation
Luis Weruaga, Austrian Academy of Sciences, Austria; Marián Képesi, Telecommunications Research Center Vienna, Austria

SPTM-P7.3: Modelling of Signal's Time-Frequency Content Using Warped Complex-Time Distributions
Cornel Ioana, ENSIETA, France; Srdjan Stankovic, University of Montenegro, Yugoslavia; André Quinquis, ENSIETA, France; Ljubisa Stankovic, University of Montenegro, Yugoslavia

SPTM-P7.4: A Measure of Mutual Information on the Time-Frequency Plane
Selin Aviyente, Michigan State University, United States

SPTM-P7.5: The Use of a Masking Signal to Improve Empirical Mode Decomposition
Ryan Deering, James Kaiser, Duke University, United States

SPTM-P7.6: Empirical Mode Decomposition, fractional Gaussian noise and Hurst exponent estimation
Gabriel Rilling, Patrick Flandrin, ENS Lyon, France; Paulo Gonçalvès, IST-ISR, Portugal

SPTM-P7.7: Robust Adaptive Lomb Periodogram for Time-Frequency Analysis of Signals with Sinusoidal and Transient Components
Zhiguo Zhang, Shing-Chow Chan, University of Hong Kong, Hong Kong SAR of China

SPTM-P7.8: Time-Frequency Detection Using Gabor Filter Bank and Viterbi Based Grouping Algorithm
Cédric Cornu, ENSIETA, France; Igor Djurovic, University of Montenegro, Yugoslavia; Cornel Ioana, André Quinquis, ENSIETA, France; Ljubisa Stankovic, University of Montenegro, Yugoslavia

SPTM-P7.9: Direction Finding of Nonstationary Signals using a Time-Frequency Hough Transform
Luke Cirillo, Abdelhak M. Zoubir, Darmstadt University of Technology, Germany; Moeness Amin, Villanova University, United States

SPTM-P7.10: An Improved Spectrogram Using the Multiangle Centered Discrete Fractional Fourier Transform
Juan Vargas-Rubio, Balu Santhanam, University of New Mexico, United States

SPTM-P7.11: Capon's Time-Frequency Representation with Nonstationary AR Autocorrelation
Yariv Amos, Joseph Tabrikian, Ilan Shallom, Ben-Gurion University of the Negev, Israel

SPTM-P7.12: Channel Estimation Using Time-Frequency Techniques
Hao Shen, Antonia Papandreou-Suppappola, Arizona State University, United States

SPTM-P7.13: Improved Modulation Spectrum Through Multi-Scale Modulation Frequency Decomposition
Somsak Sukittanon, Les Atlas, James Pitton, Karim Filali, University of Washington, United States

SPTM-P7.14: Properties for Modulation Spectral Filtering
Qin Li, Les Atlas, University of Washington, United States

SPTM-P8: Multirate Signal Processing and Wavelets I

SPTM-P8.1: Simplified Design of Low-Delay Oversampled NPR GDFT Filterbanks
Bogdan Dumitrescu, Robert Bregovic, Tapio Saramäki, Tampere University of Technology, Finland

SPTM-P8.2: A Factorization Procedure for FIR Paraunitary Matrices
Sarah Lannes, Nirmal Bose, Pennsylvania State University, United States

SPTM-P8.3: 2-Dimensional Translation Invariant RI-Spline Wavelet and its Application
Zhong Zhang, Satoshi Horihata, Tetsuo Miyake, Toyohashi University of Technology, Japan; Hiroshi Toda, Okayama Prefectural University, Japan

SPTM-P8.4: 2D Dual-Tree M-band Wavelet Decomposition
Caroline Chaux, Université de Marne-la-Vallée, France; Laurent Duval, Institut Français du Pétrole, France; Jean-Christophe Pesquet, Université de Marne-la-Vallée, France

SPTM-P8.5: Despeckling SAR Images in the Undecimated Wavelet Domain: a MAP Approach
Fabrizio Argenti, Nicola Rovai, Luciano Alparone, University of Florence, Italy

SPTM-P8.6: On the design of FIR optimum orthonormal filter banks
Afshin Abdi, Kambiz Nayebi, Sharif University of Technology, Iran (Islamic Republic of)

SPTM-P8.7: A Multiscale Data Representation for Distributed Sensor Networks
Raymond Wagner, Shriram Sarvotham, Richard Baraniuk, Rice University, United States

SPTM-P8.8: Bi-orthogonal Filter Banks with Directional Vanishing Moments
Arthur Cunha, Minh N. Do, University of Illinois at Urbana-Champaign, United States

SPTM-P8.9: Image Denoising Using Translation-Invariant Contourlet Transform
Ramin Eslami, Hayder Radha, Michigan State University, United States

SPTM-P8.10: A Stochastic Multirate Signal Processing Approach to High-Resolution Signal Reconstruction
James Scrofani, Charles Therrien, Naval Postgraduate School, United States

SPTM-P8.11: Design of Perfect Reconstruction QMF Lattice with Signed Powers-of-Two Coefficients Using CORDIC Algorithm
Sang Yoon Park, Nam Ik Cho, Seoul National University, Republic of Korea

SPTM-P8.12: Multiscale Manifold Representation and Modeling
Hyeokho Choi, Richard Baraniuk, Rice University, United States

SPTM-P8.13: The Finer Directional Wavelet Transform
Yue Lu, Minh N. Do, University of Illinois at Urbana-Champaign, United States

SPTM-P9: Multirate Signal Processing and Wavelets II

SPTM-P9.1: Multiresolution of the Fourier Transform
Artyom Grigoryan, Serkan Dursun, University of Texas, San Antonio, United States

SPTM-P9.2: Critically subsampled filterbanks implementing Reed-Solomon codes: An algebraic point of view
Geert Van Meerbergen, Marc Moonen, K.U. Leuven, Belgium; Hugo De Man, IMEC, Belgium

SPTM-P9.3: ECG compression using signal dependent frames and matching pursuit
Karl Skretting, Kjersti Engan, John Håkon Husøy, University of Stavanger, Norway

SPTM-P9.4: Multivariate Statistical Approach for Image Denoising
Dongwook Cho, Tien D. Bui, Concordia University, Canada

SPTM-P9.5: Generalized Daubechies Wavelets
Cédric Vonesch, Thierry Blu, Michael Unser, Swiss Federal Institute of Technology (EPFL), Switzerland

SPTM-P9.6: Multi-dimensional Average-Interpolating Refinement on Arbitrary Lattices
Pouya Tafti, Shahram Shirani, Xiaolin Wu, McMaster University, Canada

SPTM-P9.7: Design of Generalized Linear-Phase Paraunitary Filter Banks with Zeros at Mirror Frequencies
Akihiro Ochi, Masaaki Ikehara, Keio University, Japan

SPTM-P9.8: Fast Approximations of the Orthogonal Dual-Tree Wavelet Bases
Adeel Abbas, Trac Tran, The Johns Hopkins University, United States

SPTM-P9.9: Structurally Linear Phase Factorization of 2-channel filter banks based on lifting
Lei Zhang, Anamitra Makur, Nanyang Technological University, Singapore

SPTM-P9.10: Paraunitary Filter Bank Design via a Polynomial Singular-Value Decomposition
Soydan Redif, Thomas Cooper, QinetiQ Ltd., United Kingdom

SPTM-P9.11: Design of Wavelets Adapted to Signals and Application
Aude Maitrot, Marie-Françoise Lucas, Christian Doncarli, IRCCyN, France

SPTM-P9.12: Modulated Hybrid Filter Banks for Data Conversion
Omid Oliaei, University of Massachusetts, Amherst, United States

SPTM-P9.13: Exponential-Spline Wavelet Bases
Ildar Khalidov, Michael Unser, Swiss Federal Institute of Technology (EPFL), Switzerland

SPTM-P9.14: Factoring M-Band Wavelet Transforms into Reversible Integer Mappings and Lifting Steps
Tony Lin, Pengwei Hao, Shufang Xu, Peking University, China

SPTM-P10: Detection, Estimation, Classification Theory and Applications I

SPTM-P10.1: Non-Mapping Back SB-ESPRIT for Coherent Signals
Yanbo Xue, Jinkuan Wang, Northeastern University, China; Yimin Zhang, Villanova University, United States

SPTM-P10.2: Improved Spectral Analysis of Nearby Tones Using Local Detectors
Morteza Shahram, Peyman Milanfar, University of California, Santa Cruz, United States

SPTM-P10.3: New Schur-Type-Based PCI Algorithms for Reverberation Suppression in Active Sonar
Yu Li, Haining Huang, Chunhua Zhang, Shuqiu Li, Chinese Academy of Sciences, China

SPTM-P10.4: Gradient Sparse Optimization via Competitive Learning
Nan Zhang, Shuqing Zeng, Juyang Weng, Michigan State University, United States

SPTM-P10.5: Tests for Global Maximum of the Likelihood Function
Doron Blatt, Alfred O. Hero III, University of Michigan, United States

SPTM-P10.6: Exploiting Temperature Dependency in the Detection of NQR Signals
Andreas Jakobsson, Magnus Mossberg, Karlstad University, Sweden; Michael Rowe, John Smith, King's College London, United Kingdom

SPTM-P10.7: A Kalman-Tracker-Based Bayesian Detector for Radar Interference in Radio Astronomy
Weizhen Dong, Brian Jeffs, Brigham Young University, United States; Richard Fisher, National Radio Astronomy Observatory, United States

SPTM-P10.8: Sound Field Measurements Based on Reconstruction from Laser Projections (Supplemental Multimedia Files available for this paper)
Yasuhiro Oikawa, Yusuke Ikeda, Makoto Goto, Toshikazu Takizawa, Yoshio Yamasaki, Waseda University, Japan

SPTM-P10.9: Kernel Spectral Matched Filter for Hyperspectral Target Detection
Nasser Nasrabadi, Heesung Kwon, US Army Research Laboratory, United States

SPTM-P10.10: Strong Consistency of the Over- and Under-Determined LSE of 2-D Exponentials in White Noise
Joseph M. Francos, Mark Kliger, Ben-Gurion University, Israel

SPTM-P10.11: Flexible Tree-Search Based Orthogonal Matching Pursuit Algorithm
Gunes Karabulut, Lucia Moura, University of Ottawa, Canada; Daniel Panario, Carleton University, Canada; Abbas Yongacoglu, University of Ottawa, Canada

SPTM-P10.12: A New Approach to the Variable Selection Using the TLS Approach
Sébastien Maria, Jean-Jacques Fuchs, IRISA, France

SPTM-P10.13: Kernel Adaptive Subspace Detector for Hyperspectral Target Detection
Heesung Kwon, Nasser Nasrabadi, US Army Research Laboratory, United States

SPTM-P10.14: Kalman Filtering for Triplet Markov Chains : Applications and Extensions
Boujemaa Ait El Fquih, Francois Desbouvries, Institut National des Telecommunications, France

SPTM-P11: Detection, Estimation, Classification Theory and Applications II

SPTM-P11.1: Steganalysis of Binary Text Images
Jun Cheng, Alex C. Kot, Jun Liu, Hong Cao, Nanyang Technological University, Singapore

SPTM-P11.2: Frequency Estimation from Multiple Lags of Correlations in the Presence of MA Colored Noise
Zhi Wang, Saman S. Abeysekera, NTU, Singapore

SPTM-P11.3: An LMMSE Detector for a Spread-Spectrum System Based on Random Permutations Over Frequency Selective Fading Channels
Martial Coulon, Daniel Roviras, INP-ENSEEIHT/TéSA/IRIT, France

SPTM-P11.4: The Modified CUSUM Algorithm for Slow and Drastic Change Detection in General HMMs with Unknown Change Parameters
Namrata Vaswani, Georgia Institute of Technology, United States

SPTM-P11.5: Strong Consistency of a Family of Model Order Selection Rules for Estimating the Parameters of 2-D Sinusoids in White Noise
Mark Kliger, Joseph M. Francos, Ben-Gurion University, Israel

SPTM-P11.6: Optimal Circle Fitting Via Branch and Bound
Emanuel Zelniker, Benjamin Appleton, Vaughan Clarkson, University of Queensland, Australia

SPTM-P11.7: Space Alternating Data Augmentation: Application to Finite Mixture of Gaussians and Speaker Recognition
Arnaud Doucet, University of Cambridge, United Kingdom; Stéphane Sénécal, Tomoko Matsui, Institute of Statistical Mathematics, Japan

SPTM-P11.8: Classification of Vehicle Occupants Using 3D Image Sequences
Pandu R. Rao Devarakota, Bruno Mirbach, Marta Castillo-Franco, IEE S.A., Luxembourg; Björn Ottersten, Royal Institute of Technology (KTH), Sweden

SPTM-P11.9: Minimax robust detection of a known signal in a general class of noises
Georgy Shevlyakov, Kiseon Kim, Gwangju Institute of Science and Technology, Republic of Korea

SPTM-P11.10: Feature Extraction for Heartbeat Classification using Independent Component Analysis and Matching Pursuits
Germán Gómez Herrero, Atanas Gotchev, Tampere University of Technology, Finland; Ivaylo Christov, Bulgarian Academy of Sciences, Bulgaria; Karen Egiazarian, Tampere University of Technology, Finland

SPTM-P11.11: Comparison of the Bhattacharyya and Cramer-Rao Lower Bounds for the Position Estimation of an OFDM Transmitter
Marilynn Wylie-Green, Nokia Research Center, United States

SPTM-P11.12: Energy-Efficient Digital Filtering Using ML-based Error Correction (ML-EC) Technique
Jun Won Choi, Byonghyo Shim, Andrew Singer, University of Illinois at Urbana-Champaign, United States; Nam Ik Cho, Seoul National University, Republic of Korea

SPTM-P11.13: A Modified Stack Decoder for Protein Secondary Structure Prediction
Zafer Aydin, Toygar Akgun, Yucel Altunbasak, Georgia Institute of Technology, United States

SAM-L1: Sensor Networks I

SAM-L1.1: Saddlepoint Approximation for Sensor Network Optimization
Saeed Aldosari, José M. F. Moura, Carnegie Mellon University, United States

SAM-L1.2: Energy-Efficient Joint Estimation in Sensor Networks: Analog vs. Digital
Shuguang Cui, Stanford University, United States; Jin-Jun Xiao, University of Minnesota, United States; Andrea Goldsmith, Stanford University, United States; Zhi-Quan Luo, University of Minnesota, United States; Vincent Poor, Princeton University, United States

SAM-L1.3: Outlier Compensation in Sensor Network Self-localization via the EM Algorithm
Joshua Ash, Randolph Moses, Ohio State University, United States

SAM-L1.4: Multi-Modal Sensor Localization Using a Mobile Access Point
Brian Sadler, Army Research Laboratory, United States; Richard Kozick, Bucknell University, United States; Lang Tong, Cornell University, United States

SAM-L1.5: Tracking with particle filtering in tertiary wireless sensor networks
Petar Djuric, Mahesh Vemula, Mónica Bugallo, Stony Brook University, United States

SAM-L1.6: Dumb Isotropic Sensors *Can* Find DOAs
Vincenzo Matta, Stefano Marano, University of Salerno, Italy; Peter Willett, University of Connecticut, United States; Lang Tong, Cornell University, United States

SAM-L2: MIMO Systems and Space-Time Coding

SAM-L2.1: Robustness Evaluation of Uniform Power Allocation with Antenna Selection for Spatial Tomlinson-Harashima Precoding
Miquel Payaró, Ana Pérez, Miguel Ángel Lagunas, CTTC, Spain

SAM-L2.2: Beaconing in MIMO Broadcast Channels
Michael Gans, AFRL/IFGC, United States; Biao Chen, Syracuse University, United States

SAM-L2.3: Semi-Blind Multi-User MIMO Channel Estimation Based on Capon and MUSIC Techniques
Shahram Shahbazpanahi, Alex B. Gershman, McMaster University, Canada; Georgios B. Giannakis, University of Minnesota, United States

SAM-L2.4: A Complete Family of Quasi-Orthogonal Space-time Codes
Yu Chang, Yingbo Hua, University of California, Riverside, United States

SAM-L2.5: Exploiting the Structure of OSTBC's to Improve the Robustness of Worst-Case Optimization Based Linear Multi-User MIMO Receivers
Yue Rong, University of Duisburg-Essen, Germany; Shahram Shahbazpanahi, Alex B. Gershman, McMaster University, Canada

SAM-L2.6: Adaptable Channel Decomposition for Mimo Communications
Yi Jiang, Jian Li, University of Florida, United States

SAM-L3: Beamforming

SAM-L3.1: Design of FIR Beamformer with Frequency Invariant Patterns via Jointly Optimizing Spatial and Frequency Responses
Shefeng Yan, Yuanliang Ma, Northwestern Polytechnical University, China

SAM-L3.2: The Bias of the MVDR Beamformer Outputs under Diagonal Loading
Raj Nadakuditi, Alan Edelman, Massachusetts Institute of Technology, United States

SAM-L3.3: Acoustic Filter-and-Sum Beamforming by adaptive Principal Component Analysis
Ernst Warsitz, Reinhold Haeb-Umbach, University of Paderborn, Germany

SAM-L3.4: A New Subband Structure for an Acoustic Beamformer with Leaky Adaptive Filters in the Blocking Matrices
Boon Aik Goh, Desmond McLernon, University of Leeds, United Kingdom; Aldo Orozco-Lugo, Mauricio Lara, Centro De Investigación y De Estudios Avanzados del IPN, Mexico

SAM-L3.5: Theory and Design of Uniform Concentric Circular Arrays with Frequency Invariant Characteristics
Shing-Chow Chan, Haihua Chen, University of Hong Kong, Hong Kong SAR of China

SAM-L3.6: Spatial Power Spectrum Estimation Based on a MVDR-MMSE-MUSIC Hybrid Beamformer
Ernesto Santos, Michael Zoltowski, Purdue University, United States

SAM-P1: Sensor Networks II

SAM-P1.1: An Idea for Quantization with Data Association
Stefano Marano, Vincenzo Matta, University of Salerno, Italy; Peter Willett, University of Connecticut, United States

SAM-P1.2: Decentralized Detection In Dense Sensor Networks With Censored Transmissions
Antonio Artés-Rodríguez, Marcelino Lázaro, Matilde Sánchez-Fernández, University Carlos III of Madrid, Spain

SAM-P1.3: Nonparametric Change Detection in 2D Random Sensor Field
Ting He, Cornell University, United States; Shai Ben-David, University of Waterloo, Canada; Lang Tong, Cornell University, United States

SAM-P1.4: A Distributed Wavelet Compression Algorithm for Wireless Multihop Sensor Networks Using Lifting
Alexandre Ciancio, Antonio Ortega, University of Southern California, United States

SAM-P1.5: Universal Decentralized Estimation in a Bandwidth Constrained Sensor Network
Zhi-Quan Luo, Jin-Jun Xiao, University of Minnesota, United States

SAM-P1.6: Scheduling Multiple Sensors for Tracking a Highly Maneuvering Target in Clutter
Sumedh Puranik, Jitendra Tugnait, Auburn University, United States

SAM-P1.7: Efficient Distributed Multiresolution Processing for Data Gathering in Sensor Networks
Jugoslava Acimovic, Razvan Cristescu, Baltasar Beferull-Lozano, Swiss Federal Institute of Technology (EPFL), Switzerland

SAM-P1.8: Sensor-Fusion Center Communication Over Multiaccess Fading Channels
Gökhan Mergen, Lang Tong, Cornell University, United States

SAM-P1.9: Distributed particle filters for wireless sensor network target tracking
Xiaohong Sheng, Yu-Hen Hu, University of Wisconsin-Madison, United States

SAM-P1.10: MAP-PF Position Tracking with a Network of Sensor Arrays
Kristine Bell, George Mason University, United States

SAM-P1.11: Multimodal Wireless Networks: Distributed Surveillance with Multiple Nodes
Zoltan Safar, John Sorensen, Jianjun Chen, Kåre Kristoffersen, IT University of Copenhagen, Denmark

SAM-P1.12: Quantizer Design for Source Localization in Sensor Networks
Yoon Hak Kim, Antonio Ortega, University of Southern California, United States

SAM-P1.13: Decision Fusion in a Wireless Sensor Network with a Random Number of Sensors
Ruixin Niu, Pramod Varshney, Syracuse University, United States

SAM-P1.14: Asymptotic Performance Analysis for Minimum-Hamming-Distance Fusion
Po-Ning Chen, National Chiao-Tung University, Taiwan; Tsang-Yi Wang, National Chi Nan University, Taiwan; Yunghsiang Han, National Taipei University, Taiwan; Pramod Varshney, Syracuse University, United States; Chien Yao, National Chiao-Tung University, Taiwan

SAM-P2: Space-Time Processing for Communications

SAM-P2.1: Bit Error Rate Performance of Decision Feedback Detection for Space—Time Block Coded Systems over Time-Selective Fading Channels
Kyung Seung Ahn, Chonbuk National University, Republic of Korea; Jae-Young Kim, ETRI, Republic of Korea; Heung Ki Baik, Chonbuk National University, Republic of Korea

SAM-P2.2: An Adaptive Version of the Algebraic Constant Modulus Algorithm
Alle-Jan van der Veen, Delft University of Technology, Netherlands

SAM-P2.3: Hidden Markov Models for Radio Location of Moving Terminals in LOS/NLOS conditions
Carlo Morelli, Monica Nicoli, Vittorio Rampa, Umberto Spagnolini, Politecnico di Milano, Italy

SAM-P2.4: A New Differential Unitary Space-Time Modulation Scheme with Reduced Receiver Complexity
Yiqun Qian, Luxi Yang, Southeast University, China

SAM-P2.5: Propagation Parameter Estimation in MIMO Systems using Mixture of Angular Distributions Model
Cássio Ribeiro, Esa Ollila, Visa Koivunen, Helsinki University of Technology, Finland

SAM-P2.6: Exact Error Probability Analysis of Multimedia Multicast Transmission in MIMO Wireless Networks Using Orthogonal Space-Time Block Codes
Rasha Ibrahim, McMaster University, Canada; Mohammad Gharavi-Alkhansari, University of Duisburg-Essen, Germany; Alex B. Gershman, McMaster University, Canada

SAM-P2.7: On the Impact of Multi-antenna RF Transceivers' Amplitude and Phase Mismatches on Transmit MRC
Nadia Khaled, IMEC, Belgium; Sumanth Jagannathan, Ahmad Bahai, Stanford University, United States; Frederik Petré, IMEC, Belgium; Geert Leus, Delft University of Technology, Netherlands; Hugo De Man, IMEC, Belgium

SAM-P2.8: Energy Efficiency of MIMO Transmissions in Wireless Sensor Networks with Diversity and Multiplexing Gains
Wenyu Liu, Motorola Inc., United States; Xiaohua Li, Mo Chen, State University of New York at Binghamton, United States

SAM-P2.9: Mobile Tracking Using UKF, Timing Measures and LOS-NLOS Expert Knowledge
Jose Huerta, Josep Vidal, Technic University of Catalonia, Spain

SAM-P2.10: An Efficient Algorithm for Solving the Downlink Beamforming Problem with Indefinite Constraints
David Samuelsson, Mats Bengtsson, Björn Ottersten, Royal Institute of Technology (KTH), Sweden

SAM-P2.11: Joint Transmitter and Receiver Design for MIMO Channel Shortening
Cenk Toker, Sangarapillai Lambotharan, King's College London, United Kingdom; Jonathon A. Chambers, Cardiff University, United Kingdom

SAM-P2.12: Singular Value Decomposition of a Matrix-Valued Impulse Response
Thomas Marzetta, Jack Salz, Bell Laboratories, Lucent Technologies, United States

SAM-P2.13: Differential Modulation Schemes for Decode-and-Forward Cooperative Diversity
Yimin Zhang, Villanova University, United States

SAM-P3: Array Processing

SAM-P3.1: Stochastic Cramer-Rao Bound for Direction Estimation of Non-Circular Signals in Unknown Noise Fields
Habti Abeida, Jean Pierre Delmas, Institut National des Telecommunications, France

SAM-P3.2: Cyclostationarity Based DOA Estimation for Wideband Sources with a Conjugate Minimum-Redundancy Linear Array
Huiqin Yan, Howard Fan, University of Cincinnati, United States

SAM-P3.3: Low-Complexity Esprit Method for Direction Finding
Lei Huang, Shunjun Wu, Linrang Zhang, Xidian University, China

SAM-P3.4: Robust Acoustic Direction of Arrival Estimation Using ROOT-SRP-PHAT, a Realtime Implementation
Anders Johansson, Sven Nordholm, University of Western Australia, Australia

SAM-P3.5: Nonstationary Array Processing for Tracking Moving Targets with Time-Varying Polarizations
Baha Obeidat, Yimin Zhang, Moeness Amin, Villanova University, United States

SAM-P3.6: On the ambiguity of COMET-EXIP algorithm for estimating a scattered source
Ahmed Zoubir, Yide Wang, Ecole Polytechnique de l'univesité de Nantes, France; Pascal Chargé, Institut National des Sciences Appliquées/Toulouse, France

SAM-P3.7: Data-Adaptive Array Interpolation for DOA Estimation in Correlated Signal Environments
Buon Kiong Lau, Lund University, Sweden; Mats Viberg, Chalmers University of Technology, Sweden; Yee Hong Leung, Curtin University of Technology, Australia

SAM-P3.8: Instantaneous DOA Estimation for Moving Wideband Cyclostationary Sources Under Multipath
Howard Fan, Huiqin Yan, University of Cincinnati, United States

SAM-P3.9: Asymptotic Performance for Subspace Bearing Methods with Separable Nuisance Parameters in Presence of Modeling Errors
Anne Ferréol, THALES Communications, France; Eric Boyer, Pascal Larzabal, SATIE UMR CNRS n°8029-ENS-Cachan, France

SAM-P3.10: Subspace-Based Adaptive Direction Estimation and Tracking in Multipath Environment
Jingmin Xin, Fujitsu Laboratories Ltd., Japan; Naoyuki Hirosaki, Keio University, Japan; Hiroyuki Tsuji, National Institute of Information and Communication, Japan; Yoji Ohashi, Fujitsu Laboratories Ltd., Japan; Akira Sano, Keio University, Japan

SAM-P3.11: Cramer-Rao Bound and Optimum Sensor Array For Source Localization From Time Differences of Arrival
Bin Yang, Jan Scheuing, University of Stuttgart, Germany

SAM-P3.12: Line Parameters Estimation By Array Processing Methods
Salah Bourennane, Julien Marot, Institut Fresnel CNRS-UMR 6133, France

SAM-P3.13: Multichannel Broadband Fano Theory for Arbitrary Lossless Antennas with Applications in DOA Estimation
Sven Nordebo, Vaxjo university, Sweden; Mats Gustafsson, Lund Institute of Technology, Sweden

SAM-P3.14: Reducing Bias in Beamspace Methods for Uniform Circular Array
Fabio Belloni, Visa Koivunen, Helsinki University of Technology, Finland

SAM-P4: Signal Detection and Estimation

SAM-P4.1: Matched Direction Detectors
Olivier Besson, ENSICA, France; Louis Scharf, Colorado State University, United States; François Vincent, ENSICA, France

SAM-P4.2: On Cross Correlation Based Discrete Time Delay Estimation
Lei Zhang, Xiaolin Wu, McMaster University, Canada

SAM-P4.3: Reliability Criteria Evaluation for TDOA Estimates in a Variety of Real Environments
Dirk Bechler, Kristian Kroschel, Universität Karlsruhe, Germany

SAM-P4.4: Closed-form range-based posture estimation based on decoupling translation and orientation
Frederik Beutler, Uwe Hanebeck, Universität Karlsruhe, Germany

SAM-P4.5: Target Detection via Fused Sonar Waveforms
Yan Sun, Peter Willett, University of Connecticut, United States; Peter Swaszek, University of Rhode Island, United States

SAM-P4.6: Application of the Bootstrap to Source Detection in Nonuniform Noise
Saïd Aouada, Danail Traskov, Nico d'Heureuse, Abdelhak M. Zoubir, Darmstadt University of Technology, Germany

SAM-P4.7: Multichannel FIR Exact Deconvolution In Multiple Variables
Jianping Zhou, Minh N. Do, University of Illinois at Urbana-Champaign, United States

SAM-P4.8: Blind Identification of Under-Determined Mixtures based on the Characteristic Function
Pierre Comon, CNRS, Lab.I3S, France; Myriam Rajih, University of Nice, Lab.I3S, France

SAM-P4.9: Target Detection using Dynamically Reconfigurable Sensor Arrays
Vijay Varadarajan, Jeffrey Krolik, Duke University, United States

SAM-P4.10: Detection and Estimation of Biochemical Sources in Arbitrary 2D Environments
Aleksandar Jeremic, McMaster University, Canada; Arye Nehorai, University of Illinois - Chicago, United States

SAM-P4.11: Exploiting Multiple Shift Invariances in Multidimensional Harmonic Retrieval of Damped Exponentials
Marius Pesavento, Ruhr-Universität Bochum, Germany; Shahram Shahbazpanahi, McMaster University, Canada; Johann F. Böhme, Ruhr-Universität Bochum, Germany; Alex B. Gershman, McMaster University, Canada

SAM-P4.12: Emitter Number Detection Based on Clustering and the Application of Information Theoretic Criteria
Yifeng Zhou, Defence R&D Canada - Ottawa, Canada

SAM-P4.13: On the Probability of Resolution for the Amplitude and Phase Estimation (APES) Spectral Estimator
Christ Richmond, MIT Lincoln Laboratory, United States

SAM-P4.14: Adaptive On-Line Multiple Source Detection
Vassilios Moussas, Technological Educational Institution of Athens, Greece; Spiridon Likothanassis, University of Patras, Greece; Sokratis Katsikas, Assimakis Leros, University of the Aegean, Greece

SAM-P5: Source Localization and Tracking

SAM-P5.1: Source Localization Using Airborne Vector Sensors
Hasan Mir, John Sahr, University of Washington, United States; Catherine Keller, MIT Lincoln Laboratory, United States

SAM-P5.2: Fast passive source localization in range-rate with tilted line arrays
Vladimir Bobko, Shawn Kraut, Queen's University, Canada

SAM-P5.3: Transmission Diversity Smoothing for Multi-Target Localization
Joseph Tabrikian, Ilya Bekkerman, Ben-Gurion University of the Negev, Israel

SAM-P5.4: A New Trilateration Method to Mitigate the impact of some Non-Line-of-Sight Errors in TOA Measurements for Mobile Localization
Emmanuèle Grosicki, Karim Abed-Meraim, ENST Paris, France

SAM-P5.5: Multitarget tracking using a new soft-gating approach and Sequential Monte Carlo methods
William Ng, Jack Li, Simon Godsill, Jaco Vermaak, Cambridge University, United Kingdom

SAM-P5.6: Hybrid Algorithm for Robust, Real-Time Source Localization in Reverberant Environments
J. Michael Peterson, Chris Kyriakakis, University of Southern California, United States

SAM-P5.7: High Acuity Sound-Source Localization by means of a Triangular Spherical Array
Amir A. Handzel, BG Medicine, Inc., United States

SAM-P5.8: Efficient Source Localization and Tracking in Reverberant Environments Using Microphone Arrays
Fabio Antonacci, Davide Lonoce, Marco Motta, Augusto Sarti, Stefano Tubaro, Politecnico di Milano, Italy

SAM-P5.9: Alternate Source and Receiver Location Estimation Using TDOA with Receiver Position Uncertainties
La-or Kovavisaruch, K. C. Ho, University of Missouri-Columbia, United States

SAM-P5.10: Geometry-Adaptive Data Compression For TDOA/FDOA Location
Mo Chen, Mark Fowler, State University of New York at Binghamton, United States

SAM-P5.11: Localizing an Unknown Time-varying Number of Speakers: A Bayesian Random Finite Set Approach
Ba-Ngu Vo, Wing-Kin Ma, University of Melbourne, Australia; Sumeetpal Singh, University of Cambridge, United Kingdom

SAM-P5.12: Wide-Band Target Depth Estimation in a Scattering Ocean Environment
Granger Hickman, Jeffrey Krolik, Duke University, United States

SAM-P5.13: Mobile Localizaton Method Based on Multidimensional Similarity Analysis
Qun Wan, Yong-Jie Luo, Wan-Lin Yang, University of Electronic Science and Technology, China; Jia Xu, Jun Tang, Ying-Ning Peng, Tsinghua University, China

SAM-P6: Applications of Multichannel Signal Processing

SAM-P6.1: Maximum Signal-to-Noise Ratio GPS Anti-Jam Receiver with Subspace Tracking
Wei Sun, Temple University, United States; Moeness Amin, Villanova University, United States

SAM-P6.2: Application of Robust Capon Beamforming to Radio Astronomical Imaging
Sebastiaan van der Tol, Alle-Jan van der Veen, Delft University of Technology, Netherlands

SAM-P6.3: Retrieval of 3D-Position of a Passive Object using Infrared LED's and Photodiodes (Supplemental Multimedia Files available for this paper)
Henrik Vie Christensen, Aalborg University, Denmark

SAM-P6.4: Near Field Imaging of Subsurface Targets using Wide-Band Multi-Static RELAX/CLEAN Algorithms
Mubashir Alam, James H. McClellan, Georgia Institute of Technology, United States

SAM-P6.5: Cramer-Rao bounds for compound-Gaussian clutter and target parameters
Jian Wang, University of Illinois at Chicago, United States; Aleksandar Dogandzic, Iowa State University, United States; Arye Nehorai, University of Illinois at Chicago, United States

SAM-P6.6: Imaging of Subsurface Targets Using a 3D Quadtree Algorithm
Ali Cafer Gürbüz, James H. McClellan, Waymond R. Scott, Georgia Institute of Technology, United States

SAM-P6.7: Acoustic Localization By Interaural Level Difference
Stan Birchfield, Rajitha Gangishetty, Clemson University, United States

SAM-P6.8: Squint Mode SAR Imaging with Range-Walk Removal
Kaizhi Wang, Xingzhao Liu, Shanghai Jiaotong University, China

SAM-P6.9: Optimal Experimental Design for an Inverse Scattering Problem
Raghuram Rangarajan, Raviv Raich, Alfred O. Hero III, University of Michigan, United States

SAM-P6.10: Single Antenna Time reversal Adaptive Interference Cancellation
José M. F. Moura, Yuanwei Jin, Daniel Stancil, Jian-Gang Zhu, Ahmet Cepni, Yi Jiang, Benjamin Henty, Carnegie Mellon University, United States

SAM-P6.11: Improving Audio Source Localization by Learning the Precedence Effect
Kevin Wilson, Trevor Darrell, Massachusetts Institute of Technology, United States

SAM-P6.12: Use of Modulation Spectra for Representation and Classification of Acoustic Transients from Sniper Fire
Lane Owsley, Les Atlas, Chad Heinemann, University of Washington, United States

SAM-P6.13: Blind Deconvolution of Backscattered Ultrasound Using Sparse Sensor Arrays
Tao He, Carlos E. Davila, Southern Methodist University, United States

SAM-P6.14: A Robust and Self-Reconfigurable Design of Spherical Microphone Array for Multi-Resolution Beamforming
Zhiyun Li, Ramani Duraiswami, University of Maryland, College Park, United States

DISPS-L1: JPEG2000 Implementations

DISPS-L1.1: Memory Efficient JPEG 2000 Architecture with Stripe Pipeline Scheme
Hung-Chi Fang, Yu-Wei Chang, Chih-Chi Cheng, Chun-Chia Chen, Liang-Gee Chen, National Taiwan University, Taiwan

DISPS-L1.2: Three-Level Parallel High Speed Architecture for EBCOT in JPEG2000
Yijun Li, Magdy Bayoumi, University of Louisiana at Lafayette, United States

DISPS-L1.3: A Low Memory QCB-Based DWT for JPEG2000 Coprocessor Supporting Large Tile Size
Bing-Fei Wu, Chung-Fu Lin, National Chiao Tung University, Taiwan

DISPS-L1.4: Novel High-Throughput EBCOT Architecture for JPEG2000
Ramy Aly, Beth Wilson, Magdy Bayoumi, University of Louisiana at Lafayette, United States

DISPS-L1.5: Memory Analysis and Throughput Enhancement for Cost Effective Bit-Plane Coder in JPEG2000 Applications
Lien-Fei Chen, Tai-Lun Huang, Yeong-Kang Lai, National Chung Hsing University, Taiwan

DISPS-L1.6: A Novel Efficient Rate Control Algorithm for Hardware Implementation in JPEG2000
Alireza Aminlou, Omid Fatemi, University of Tehran, Iran (Islamic Republic of)

DISPS-L2: DSP Implementations for Wireless

DISPS-L2.1: A Parametrizable Low-Power High-Throughput Turbo-Decoder
Gordian Prescher, Tobias Gemmeke, Tobias G. Noll, RWTH Aachen University, Germany

DISPS-L2.2: FPGA Based Implementation of Decoder for Array Low-Density Parity-Check Codes
Pankaj Bhagawat, Momin Uppal, Gwan Choi, Texas A&M University, United States

DISPS-L2.3: Time And Energy Efficient Viterbi Decoding Using FPGAs
Jingzhao Ou, Viktor K. Prasanna, University of Southern California, United States

DISPS-L2.4: Viterbi Decoder for High-Speed Ultra-Wideband Communication Systems
Jun Tang, Keshab Parhi, University of Minnesota, United States

DISPS-L2.5: A Memory Efficient Serial LDPC Decoder Architecture
Abhiram Prabhakar, Krishna Narayanan, Texas A&M University, United States

DISPS-L2.6: Multiplier-Less Based Parallel-Pipelined FFT Architectures for Wireless Communication Applications
Wei Han, Tughrul Arslan, Ahmet Erdogan, Mohammad Hasan, University of Edinburgh, United Kingdom

DISPS-P1: DSP Implementation I

DISPS-P1.1: Simulation of DSP Algorithms on Fixed Point Architectures
Keith Cullen, Guenole Silvestre, Neil Hurley, University College Dublin, Ireland

DISPS-P1.2: Design of Sigma-Delta Modulators with Arbitrary Transfer Functions
Yongtao Wang, Purdue University, United States; Khurram Muhammad, Texas Instruments, United States; Kaushik Roy, Purdue University, United States

DISPS-P1.3: Accuracy Evaluation of Fixed-Point APA algorithm
Romuald Rocher, Daniel Menard, Olivier Sentieys, Pascal Scalart, ENSSAT / IRISA, France

DISPS-P1.4: A More Efficient and Flexible DSP Design Flow from Matlab-Simulink
Philippe Coussy, Gwenole Corre, Pierre Bomel, Eric Senn, Eric Martin, LESTER Lab. / UBS University, France

DISPS-P1.5: Rapid Generation of Hardware Functionality in Heterogeneous Platforms
Darren Reilly, Roger Woods, John McAllister, Queen's University Belfast, United Kingdom; Richard Walke, QinetiQ Ltd., United Kingdom

DISPS-P1.6: Dynamic Configuration of Dataflow Graph Topology for DSP System Design
Dong-Ik Ko, Shuvra S. Bhattacharyya, University of Maryland, College Park, United States

DISPS-P1.7: Deadlock Detection For Distributed Process Networks
Alex Olson, Brian Evans, University of Texas, Austin, United States

DISPS-P1.8: A Parallel Architecture for the ICA Algorithm: DSP Plane of a 3-D Heterogeneous Sensor
Vijay Jain, Sanjukta Bhanja, University of South Florida, United States; Glenn Chapman, Simon Fraser University, Canada; Lavanya Doddannagari, Nguyen Nguyen, University of South Florida, United States

DISPS-P1.9: Design and Automatic Code Generation of the LMS Algorithm for SIMD Signal Processors
Juan Pablo Robelly, Gordon Cichon, Hendrik Seidel, Gerhard Fettweis, Technische Universität Dresden, Germany

DISPS-P1.10: Optimizing DSP Scheduling Via Address Assignment with Array and Loop Transformation
Chun Xue, Zili Shao, Ying Chen, Edwin Sha, University of Texas, Dallas, United States

DISPS-P1.11: A Generalized Cached-FFT Algorithm
Bevan Baas, University of California, Davis, United States

DISPS-P1.12: Memory Analysis of VLSI Architecture for 5/3 and 1/3 Motion-Compensated Temporal Filtering
Chao-Tsung Huang, Ching-Yeh Chen, Yi-Hau Chen, Liang-Gee Chen, National Taiwan University, Taiwan

DISPS-P1.13: Motion Compensation Memory Access Optimization Strategies for H.264/AVC Decoder
RongGang Wang, JinTao Li, Chao Huang, Chinese Academy of Sciences, China

DISPS-P1.14: Image Processing System using a Programmable Transform Imager
Jungwon Lee, Abhishek Bandyopadhyay, Ismail Baskaya, Ryan Robucci, Paul Hasler, Georgia Institute of Technology, United States

DISPS-P2: DSP Implementation II

DISPS-P2.1: A New Reconfigurable Bit-Serial Systolic Divider for GF(2^m) and GF(p).
Aaron Cohen, Keshab Parhi, University of Minnesota Twin Cities, United States

DISPS-P2.2: Efficient Implementation of a Spectrum Analyzer for Fixed Point Architectures
Antonio Valdessalici, Giacomo Frassi, Advanced Industrial Design in Acoustics, Italy; Alberto Bellini, University of Parma, Italy

DISPS-P2.3: Multiplierless Realization of Bandpass and Bandstop Digital Filters Transformed from All-Pole Lowpass Filters
Mrinmoy Bhattacharya, Tapio Saramäki, Tampere University of Technology, Finland

DISPS-P2.4: Design of a Flexible VLSI Architecture for M-Channel Filter Bank Lifting Factorizations
Ruben Bartholomä, Thomas Greiner, Frank Kesel, Pforzheim University of Applied Sciences, Germany

DISPS-P2.5: Pipelined Parallel Decision Feedback Decoders (PDFDS) for High Speed Ethernet Over Copper
Yongru Gu, Keshab Parhi, University of Minnesota, United States

DISPS-P2.6: Hardware-Efficient Distributed Arithmetic Architecture for High-Order Digital Filters
Heejong Yoo, David Anderson, Georgia Institute of Technology, United States

DISPS-P2.7: Reconfigurable Architecture for Ultrasonic Signal Compression and Target Detection
Erdal Oruklu, Guilherme Cardoso, Jafar Saniie, Illinois Institute of Technology, United States

DISPS-P2.8: Modeling Image Processing Systems with Homogeneous Parameterized Dataflow Graphs
Mainak Sen, University of Maryland, United States; Shuvra S. Bhattacharyya, University of Maryland, College Park, United States; Tiehan Lv, Wayne Wolf, Princeton University, United States

DISPS-P2.9: Arithmetic Complexity of the Split-Radix FFT Algorithms
Saad Bouguezel, M. Omair Ahmad, M. N. S. Swamy, Concordia University, Canada

DISPS-P2.10: A Rough Programming Approach to Power-Aware VLIW Instruction Scheduling for Digital Signal Processors
Shu Xiao, Edmund Lai, Nanyang Technological University, Singapore

DISPS-P2.11: The Effects of Pipelining Feedback Loops in High Speed DSP Systems
Steven Alexander, Robert Stewart, University of Strathclyde, United Kingdom

DISPS-P2.12: Real-Time Dual-Microphone Speech Enhancement Using Field Programmable Gate Arrays
David Halupka, Seyed Alireza Rabi, Parham Aarabi, Ali Sheikholeslami, University of Toronto, Canada

DISPS-P2.13: Performance Analysis of the Filtered Backprojection Image Reconstruction Algorithms
Thammanit Pipatsrisawat, Aca Gacic, Franz Franchetti, Markus Pueschel, José M. F. Moura, Carnegie Mellon University, United States

DISPS-P2.14: Signal Multiplexing and Modulation for Volume Conduction Communication
Paul Roche, Mingui Sun, Robert Sclabassi, University of Pittsburgh, United States

MLSP-L1: Blind Source Separation and Independent Component Analysis

MLSP-L1.1: SWM : A class of convex contrasts for source separation
Frédéric Vrins, Michel Verleysen, Université catholique de Louvain, Belgium; Christian Jutten, Institut National Polytechnique de Grenoble, France

MLSP-L1.2: A Spatio-Temporal FastICA Algorithm for Separating Convolutive Mixtures
Scott Douglas, Southern Methodist University, United States; Hiroshi Sawada, Shoji Makino, NTT Corporation, Japan

MLSP-L1.3: The EM Algorithm in Independent Component Analysis
Kaare Brandt Petersen, Ole Winther, Technical University of Denmark, Denmark

MLSP-L1.4: Independent Component Analysis Using Nonparametric Likelihood Ratio Criterion
Jen-Tzung Chien, Bo-Cheng Chen, National Cheng Kung University, Taiwan

MLSP-L1.5: A Blind Separation Approach for Magnitude Bounded Sources
Alper Erdogan, Koc University, Turkey

MLSP-L1.6: On the Causality Problem in Time-Domain Blind Source Separation and Deconvolution Algorithms
Robert Aichner, Herbert Buchner, Walter Kellermann, Universität Erlangen-Nürnberg, Germany

MLSP-L2: Pattern Recognition and Classification

MLSP-L2.1: Semisupervised Learning of Mixture Models with Class Constraints
Qi Zhao, David Miller, Pennsylvania State University, United States

MLSP-L2.2: The Audio Epitome: A New Representation for Modeling and Classifying Auditory Phenomena
Ashish Kapoor, Massachusetts Institute of Technology, United States; Sumit Basu, Microsoft Research, United States

MLSP-L2.3: Soft SVM and Its Application to Video Object Extraction
Yi Liu, Yuan F. Zheng, The Ohio State University, United States

MLSP-L2.4: Music Genre Classification with Taxonomy
Tao Li, Florida International University, United States; Mitsu Ogihara, University of Rochester, United States

MLSP-L2.5: A Probabilistic Model for Cursive Handwriting Recognition using Spatial Context
Jigang Wang, Predrag Neskovic, Leon Cooper, Brown University, United States

MLSP-L2.6: Summation Invariant and Its Applications to Shape Recognition
Wei-Yang Lin, Nigel Boston, Yu Hen Hu, University of Wisconsin-Madison, United States

MLSP-L3: Bayesian Learning and Modeling

MLSP-L3.1: Non-parametric Dependent Components
Arto Klami, Samuel Kaski, University of Helsinki, Finland

MLSP-L3.2: A Fast Importance Sampling Algorithm for Unsupervised Learning of Over-Complete Dictionaries
Thomas Blumensath, Mike Davies, Queen Mary, University of London, United Kingdom

MLSP-L3.3: A Grid-Based Proposal for Efficient Global Localisation of Mobile Robots
Man Yin Yee, Jaco Vermaak, Cambridge University, United Kingdom

MLSP-L3.4: A Segment-Based Probabilistic Generative Model of Speech (Supplemental Multimedia Files available for this paper)
Kannan Achan, Sam Roweis, Aaron Hertzmann, Brendan Frey, University of Toronto, Canada

MLSP-L3.5: Hidden Markov Models for Wavelet Image Separation and Denoising
Mahieddine M. Ichir, Ali Mohammad-Djafari, CNRS-Supélec-UPS, France

MLSP-L3.6: Blind Separation of Generalized Hyperbolic Processes: Unifying Approach to Stationary Non Gaussianity and Gaussian Non Stationarity
Hichem Snoussi, Jérôme Idier, Ecole Centrale Nantes, France

MLSP-L4: Learning Theory

MLSP-L4.1: Learning Mappings in Brain Machine Interfaces with Echo State Networks
Yadunandana Rao, Sung-Phil Kim, Justin Sanchez, Deniz Erdogmus, Jose Principe, University of Florida, United States; Jose Carmena, Mikhail Lebedev, Miguel Nicolelis, Duke University, United States

MLSP-L4.2: Selection of Tuning Parameters for Support Vector Machines
Victor Solo, University of Michigan, Ann Arbor, United States

MLSP-L4.3: Effects of Norms on Learning Properties of Support Vector Machines
Kazushi Ikeda, Kyoto University, Japan; Noboru Murata, Waseda University, Japan

MLSP-L4.4: A Fast Training Algorithm for Unbiased Proximal SVM
Felipe Bastos, Marcello Campos, COPPE / UFRJ, Brazil

MLSP-L4.5: An Information-Theoretic Perspective to Kernel Independent Components Analysis
Jian-Wu Xu, University of Florida, United States; Deniz Erdogmus, Oregon Graduate Institute,OHSU, United States; Robert Jenssen, University of Tromsø, Norway; Jose Principe, University of Florida, United States

MLSP-L4.6: A Class of Gradient-Adaptive Step Size Algorithms for Complex-Valued Nonlinear Neural Adaptive Filters
Su Lee Goh, Danilo Mandic, Imperial College London, United Kingdom

MLSP-P1: Blind Signal Separation and Independent Component Analysis

MLSP-P1.1: Kalman Filtering Algorithm for Blind Source Separation
Qi Lv, Xian-Da Zhang, Tsinghua University, China; Ying Jia, Intel China Research Center, China

MLSP-P1.2: Relative Trust-Region Learning for ICA
Heeyoul Choi, Seungjin Choi, POSTECH, Republic of Korea

MLSP-P1.3: Feature-selective ICA and Its Convergence Properties
Yi-Ou Li, Tülay Adali, University of Maryland, Baltimore County, United States; Vince Calhoun, Yale University, United States

MLSP-P1.4: A Novel Pre-Processing Technique of Blind Source Separation Applying Q-Mode Factor Analysis
Yoshio Konno, Sophia University, Japan; Jianting Cao, Saitama Institute of Technology, Japan; Mamoru Tanaka, Sophia University, Japan

MLSP-P1.5: Perceptually Motivated Blind Source Separation of Convolutive Mixtures
Rammohana Reddy Guddeti, Bernard Mulgrew, Institute for Digital Communications, United Kingdom

MLSP-P1.6: Blind Source Separation in the Presence of Doppler Frequency Shifts
Arie Yeredor, Tel-Aviv University, Israel

MLSP-P1.7: Issues in Frequency Domain Blind Source Separation ­- A Critical Revisit
Enrique Robledo-Arnuncio, Biing-Hwang (Fred) Juang, Georgia Institute of Technology, United States

MLSP-P1.8: Semi-blind Source Separation for Convolutive Mixtures Based on Frequency Invariant Transformation
Wei Liu, Danilo Mandic, Imperial College London, United Kingdom

MLSP-P1.9: Non-negative Source Separation: Range of Admissible Solutions and Conditions for the Uniqueness of the Solution
Saïd Moussaoui, David Brie, CRAN UMR CNRS 7039, France; Jérôme Idier, IRCCyN UMR CNRS 6597, France

MLSP-P1.10: Learning Unions of Orthonormal Bases with Thresholded Singular Value Decomposition
Sylvain Lesage, Rémi Gribonval, Frédéric Bimbot, Laurent Benaroya, IRISA (CNRS & INRIA), France

MLSP-P1.11: On the difference between updating the mixing matrix and updating the separation matrix
Michael Syskind Pedersen, Ulrik Kjems, Oticon A/S, Denmark; Jan Larsen, Technical University of Denmark, Denmark

MLSP-P1.12: Blind Source Separation for Time-Variant Mixing Systems Using Piecewise Linear Approximations
Ramon Prieto, Toyota InfoTechnology Center U.S.A., United States; Pamornpol Jinachitra, Stanford University, United States

MLSP-P1.13: Blind Identification Using Second-Order Statistics: a Nonstationarity and Nonwhiteness Approach
Uttachai Manmontri, Patrick Naylor, Imperial College London, United Kingdom

MLSP-P1.14: Non-Sparse Approach To Underdetermined Blind Signal Estimation
Li Chin Khor, Wai Lok Woo, Satnam Singh Dlay, University of Newcastle upon Tyne, United Kingdom

MLSP-P2: Learning Theory and Classification

MLSP-P2.1: An Improvement to the Natural Gradient Learning Algorithm for Multilayer Perceptrons
Michael Bastian, Jacob Gunther, Todd Moon, Utah State University, United States

MLSP-P2.2: On Nonlinear Modular Neural Filters
Mo Chen, Danilo Mandic, Imperial College London, United Kingdom; Temujin Gautama, Mark Van Hulle, K.U. Leuven, Campus Gasthuisberg, Belgium

MLSP-P2.3: Supervised Training of Adaptive Systems with Partially Labeled Data
Deniz Erdogmus, Oregon Graduate Institute, OHSU, United States; Yadunandana Rao, Motorola Inc., United States; Jose Principe, University of Florida, United States

MLSP-P2.4: The Laplacian Spectral Classifier
Robert Jenssen, University of Tromsø, Norway; Deniz Erdogmus, Jose Principe, University of Florida, United States; Torbjørn Eltoft, University of Tromsø, Norway

MLSP-P2.5: A Logistic Regression Model for Small Sample Classification Problems with Hidden Variables and Non-Linear Relationships: An Application in Business Analytics
Aleksandra Mojsilovic, IBM T. J. Watson Research Center, United States

MLSP-P2.6: Whitening Spacial Correlation Filtering for Hyperspectral Anomaly Detection
Jean-Michel Gaucel, Mireille Guillaume, Salah Bourennane, Institut Fresnel / CNRS UMR 6133 - EGIM, France

MLSP-P2.7: Gauss Mixture Image Classification for the Linear Image Transforms
Kivanc Ozonat, Robert M. Gray, Stanford University, United States

MLSP-P2.8: A Generalized Multiple Instance Learning Algorithm for Large Scale Modeling of Multimedia Semantics
Milind Naphade, John Smith, IBM T. J. Watson Research Center, United States

MLSP-P2.9: A Hybrid Genetic Algorithm Approach for Improving the Performance of the LF-ASD Brain Computer Interface
Mehrdad Fatourechi, Ali Bashashati, Rabab K. Ward, University of British Columbia, Canada; Gary E. Birch, Neil Squire Foundation, Canada

MLSP-P2.10: Extending Genetic Programming for Multi-Class Classification by Combining K-Nearest Neighbor
Liang Zhang, Lindsay Jack, Asoke K. Nandi, University of Liverpool, United Kingdom

MLSP-P2.11: Optimal estimation of feed-foward-controlled linear systems
Caleb Kemere, Teresa Meng, Stanford University, United States

MLSP-P2.12: Combining Classifiers with Different Footstep Feature Sets and Multiple Samples for Person Identification
Jaakko Suutala, Juha Röning, University of Oulu, Finland

MLSP-P2.13: A Comparison of EM and GMVQ in Estimating Gauss Mixtures: Application to Probabilistic Image Retrieval
Sangoh Jeong, Robert M. Gray, Stanford University, United States

MLSP-P2.14: Adaptive Fréchet Kernel Based Support Vector Machine for Text Detection
Shiyan Hu, Minya Chen, Polytechnic University, United States

MLSP-P3: Bioinformatics and Biomedical Applications

MLSP-P3.1: Gene Co-expression Networks Discovery with Controlled Statistical and Biological Significance
Dongxiao Zhu, Alfred O. Hero III, University of Michigan, United States

MLSP-P3.2: Symbol-balanced quaternionic periodicity transform for latent pattern detection in DNA sequences
Andrzej Brodzik, Olivia Peters, MITRE Corporation, United States

MLSP-P3.3: A Collateral Missing Value Estimation Algorithm for DNA Microarrays
Muhammad Shoaib Bashir Sehgal, Iqbal Gondal, Laurence Dooley, Monash University, Australia

MLSP-P3.4: A Novel Gene Mapping Algorithm based on Independent Component Analysis
Zaher Dawy, Michel Sarkis, Joachim Hagenaeur, Munich University of Technology, Germany; Jakob Mueller, National Research Center for Environment and Health, Germany

MLSP-P3.5: SEMG Classification for Upper-Limb Prosthesis Control Using Higher Order Statistics
Alireza Khadivi, University of Tehran, Iran (Islamic Republic of); Kianoush Nazarpour, Tarbiat Modarres University, Iran (Islamic Republic of); Hamid Soltanian Zadeh, University of Tehran, Iran (Islamic Republic of)

MLSP-P3.6: Multiresolution Wavelet Analysis and Ensemble of Classifiers for Early Diagnosis of Alzheimer's Disease
Genevieve Jacques, Rowan University, United States; Jennifer Frymiare, John Kounios, Drexel University, United States; Christopher Clark, University of Pennsylvania, United States; Robi Polikar, Rowan University, United States

MLSP-P3.7: Adaptive Complex Wavelet-Based Filtering of EEG for Extraction of Evoked Potential Responses
Arnaud Jacquin, Elvir Causevic, Everest Biomedical Instruments, United States; Roy John, NYU Medical Center, United States; Jelena Kovacevic, Carnegie Mellon University, United States

MLSP-P3.8: EMG Signal Decomposition by Loopy Belief Propagation
Volker Koch, Hans-Andrea Loeliger, ETH Zurich, Switzerland

MLSP-P3.9: Comparison of Blind Source Separation Algorithms for FMRI Using a New Matlab Toolbox: GIFT
Nicolle Correa, Tülay Adali, Yi-Ou Li, University of Maryland, Baltimore County, United States; Vince Calhoun, Institute of Living, United States

MLSP-P3.10: Radiotherapy Planning System with Dose Constraints
Juan Manuel Artacho Terrer, Miguel Angel Nasarre Benedé, Diego Sánchez Cebollada, Emiliano Bernués del Río, University of Zaragoza, Spain

MLSP-P3.11: A Method for the Blind Separation of Sources for use as the First Stage of a Neonatal Seizure Detection System
Stephen Faul, Liam Marnane, Gordon Lightbody, University College Cork, Ireland; Geraldine Boylan, Cork University Hospital, Ireland; Sean Connolly, St. Vincents University Hospital, Ireland

MLSP-P3.12: Classification of Movement EEG with Local Discriminant Bases
Nuri Ince, Cukurova University, Turkey; Ahmed Tewfik, University of Minnesota, United States; Sami Arica, Cukurova University, Turkey

MLSP-P3.13: Assessing Features for Electroencephalographic Signal Categorization
Shiliang Sun, Changshui Zhang, Tsinghua University, China

MLSP-P3.14: Analysis and Classification of Swallowing Sounds Using Reconstructed Phase Space Features
Mohammad Aboofazeli, Zahra Moussavi, University of Manitoba, Canada

MLSP-P4: Machine Learning Applications

MLSP-P4.1: Video Assisted Speech Source Separation
Wenwu Wang, Darren Cosker, Yulia Hicks, Saeid Sanei, Jonathon A. Chambers, Cardiff University, United Kingdom

MLSP-P4.2: SOLAR: Sound Object Localization and Retrieval in Complex Audio Environments
Derek Hoiem, Yan Ke, Carnegie Mellon University, United States; Rahul Sukthankar, Intel Research Pittsburgh, United States

MLSP-P4.3: A Simplified Single Branch BPSK Receiver Structure Employing a Novel Digital Image Rejection Technique
Wasfy Mikhael, Tianyu Yang, University of Central Florida, United States

MLSP-P4.4: Effects of Symbol Rate on the Classification of Digital Modulation Signals
Hussam Mustafa, Miloš Doroslovacki, George Washington University, United States

MLSP-P4.5: Evidence of Glottal Source Spectral Features found in Vocal Fold Dynamics
Pedro Gómez-Vilda, Juan Ignacio Godino-Llorente, Agustín Álvarez-Marquina, Rafael Martínez-Ollalla, Victor Nieto-Lluis, Victoria Rodellar-Biarge, Universidad Politécnica de Madrid, Spain

MLSP-P4.6: Radar High Range Resolution Profiles Recognition Based on Wavelet Packet and Subband Fusion
Hongwei Liu, Zhe Yang, Kun He, Zheng Bao, Xidian University, China

MLSP-P4.7: One Stroke Cursive Character Recognition Using Combination of Directional and Positional Features
Teng Long, Lian-Wen Jin, South China University of Technology, China; Li-Xin Zhen, Jian-Cheng Huang, Motorola China Research Center, China

MLSP-P4.8: Facial Expression Analysis Under Partial Occlusion
Ioan Buciu, Irene Kotsia, Ioannis Pitas, Aristotle University of Thessaloniki, Greece

MLSP-P4.9: Face Recognition Using Surface Features in XYI Space
Noriji Kato, Motofumi Fukui, Hirotsugu Kashimura, Fuji Xerox Co., Ltd, Japan

MLSP-P4.10: Tactile Gesture Recognition for People with Disabilities
Yu Yuan, Ying Liu, Kenneth E. Barner, University of Delaware, United States

MLSP-P4.11: Two-Stage Classification Using Selective Attention for Fast Face Detection
Steven Jones, David Capson, McMaster University, Canada

MLSP-P4.12: Online Recognition of Chinese Handwriting Using a Hierarchical Fuzzy Clustering Approach
Ming-Yen Tsai, Leu-Shing Lan, Wei-Tzen Pao, National Yunlin University of Science and Technology, Taiwan

MLSP-P4.13: Production Domain Modeling of Pronunciation for Visual Speech Recognition
Kate Saenko, Karen Livescu, James Glass, Trevor Darrell, Massachusetts Institute of Technology, United States

MLSP-P4.14: A Signal Classification Approach Using Time-Width vs Frequency Band Sub-Energy Distributions
Karthikeyan Umapathy, University of Western Ontario, Canada; Sridhar Krishnan, Ryerson University, Canada

MLSP-P5: Speech and Audio Processing Applications

MLSP-P5.1: Audio Steganography by Cepstrum Modification
Kaliappan Gopalan, Purdue University Calumet, United States

MLSP-P5.2: A Two-Level Fusion Approach to Multimodal Biometric Verification
Ming-Cheung Cheung, Man-Wai Mak, Hong Kong Polytechnic University, Hong Kong SAR of China; Sun-Yuan Kung, Princeton University, United States

MLSP-P5.3: Discriminative Training of Hidden Markov Models for Multiple Pitch Tracking
Francis Bach, Michael Jordan, University of California, Berkeley, United States

MLSP-P5.4: Multi-Instrument Musical Transcription Using a Dynamic Graphical Model
Brian Vogel, Michael Jordan, David Wessel, University of California, Berkeley, United States

MLSP-P5.5: Improving Music Genre Classification By Short-Time Feature Integration
Anders Meng, Peter Ahrendt, Jan Larsen, Technical University of Denmark, Denmark

MLSP-P5.6: Boosting Word Error Rates
Christos Dimitrakakis, Samy Bengio, IDIAP Research Institute, Switzerland

MLSP-P5.7: Classification of Meeting-Room Acoustic Events with Support Vector Machines and Variable-Feature-Set Clustering
Andrey Temko, Climent Nadeu, Universitat Politècnica de Catalunya, Spain

MLSP-P5.8: Classifying User Environment for Mobile Applications using Linear Autoencoding of Ambient Audio
Robert Malkin, Alex Waibel, Carnegie Mellon University, United States

MLSP-P5.9: Large Margin HMMs for Speech Recognition
Xinwei Li, Hui Jiang, Chaojun Liu, York University, Canada

MLSP-P5.10: Interpolation of Missing Data Values for Audio Signal Restoration Using a Gabor Regression Model
Patrick Wolfe, Harvard University, United States; Simon Godsill, University of Cambridge, United Kingdom

MLSP-P5.11: A Segmentation Method for Noisy Speech Using Genetic Algorithm
Moe Pwint, Farook Sattar, NTU, Singapore

MLSP-P5.12: Robust Time Delay Estimation in Noisy Reverberant Environments with a Probabilistic Graphical Model
Taesu Kim, University of California, San Diego, United States; Hagai Attias, Golden Metallic, Inc., United States; Soo-Young Lee, Korea Advanced Institute of Science and Technology, Republic of Korea; Te-Won Lee, University of California, San Diego, United States

MLSP-P5.13: Relevant Deconvolution for Acoustic Source Estimation
Yuanqing Lin, Daniel Lee, University of Pennsylvania, United States

MLSP-P5.14: Solving The Inderterminations Of Blind Source Separation Of Convolutive Speech Mixtures
Bertrand Rivet, Laurent Girin, Christian Jutten, Grenoble National Polytechnic Institute, France

SPED-P1: Signal Processing Education

SPED-P1.1: TTSBOX: A Matlab Toolbox for Teaching Text-to-Speech Synthesis (Supplemental Multimedia Files available for this paper)
Miloš Cernak, Slovak Academy of Sciences, Slovakia; Thierry Dutoit, Faculté Polytechnique de Mons, Belgium

SPED-P1.2: Java Tools for Teaching Speech Recognition
Stephan Euler, University of Applied Science, Germany

SPED-P1.3: Building the First Steps Into SP Research
Roxana Saint-Nom, Daniel Jacoby, Buenos Aires Institute of Technology, Argentina

SPED-P1.4: eDSP - A DSP-Centric Reusable Learning Object Environment
Ryan Frankel, Nicholas Nezis, Fred Taylor, University of Florida, United States

SPED-P1.5: Fast Identification of Primitive Polynomials Over Galois Fields: Results from a Course Project
Klaus Krogsgaard, Texas Instruments Inc., United States; Tanja Karp, Texas Tech University, United States

SPED-P1.6: Digital Signal Processing and Digital System Design Using Discrete Cosine Transform
Chia-Jeng Tseng, Maurice F. Aburdene, Bucknell University, United States

SPED-P1.7: Software Simulation Tools on Forward Error Correction Schemes for the Wireless Transmission of MPEG-4 AAC Audio Bitstreams
Wai Choong Wong, Institute for Infocomm Research, Singapore; Zheng Yang Chin, National University of Singapore, Singapore; Dong-Yan Huang, Institute for Infocomm Research, Singapore

SPED-P1.8: Experiences with an Electronic Whiteboard Teaching Laboratory and Tablet PC-based Lecture Presentations
Eliathamby Ambikairajah, University of New South Wales, Australia; Julien Epps, National ICT Australia, Australia; Ming Sheng, Branko Celler, Peter Chen, University of New South Wales, Australia

SPED-P1.9: Caller ID: an Opportunity to Teach DSP-Based Demodulation
Thad Welch, U.S. Naval Academy, United States; Cameron Wright, University of Wyoming, United States; Michael Morrow, University of Wisconsin-Madison, United States

SPED-P1.10: A Package Tool for General-Purpose Signal Denoising
Filipe Diniz, Sergio Netto, Federal University of Rio de Janeiro, Brazil

SPED-P1.11: Image Analysis and Computer Vision for Undergraduates
Andrea Cavallaro, Queen Mary, University of London, United Kingdom

SPED-P1.12: Interactive Java Modules for the MPEG-1 Psychoacoustic Model
Yu Song, Andreas Spanias, Venkatraman Atti, Visar Berisha, Arizona State University, United States

ITT-L1: Radar and Sonar Applications

ITT-L1.1: Multiple target tracking with a pixelized sensor
Mark R. Morelande, University of Melbourne, Australia; Christopher Kreucher, Keith Kastella, General Dynamics, United States

ITT-L1.2: Automatic Recognition of MSTAR Targets Using Radar Shadow and Superresolution Features
Jingjing Cui, Jon Gudnason, Mike Brookes, Imperial College London, United Kingdom

ITT-L1.3: Clutter Scattering Function Estimation and Ground Moving Target Detection from Multiple STAP Datacubes
Daniel R. Fuhrmann, Lisandro Boggio, John Maschmeyer, Roger Chamberlain, Washington University in St. Louis, United States

ITT-L1.4: Hidden Markov Models for Radar Pulse Train Analysis in Electronic Warfare
Nikita Visnevski, Simon Haykin, McMaster University, Canada; Vikram Krishnamurthy, University of British Columbia, Canada; Fred Dilkes, Pierre Lavoie, Defence R&D Canada, Canada

ITT-L1.5: A New Maximum a Posteriori CFAR Based on Stability in Sea Clutter State-Space Model
Mehdi Vejdani Amiri, Hamidreza Amindavar, Amirkabir University of Technology, Iran (Islamic Republic of)

ITT-L1.6: Efficient Wideband Sonar Parameter Estimation Using a Single Slice of Radon-Ambiguity Transform
Md. Raihan Sharif, Saman S. Abeysekera, Nanyang Technological University, Singapore

ITT-P1: Biomedical and Biometric Applications

ITT-P1.1: Automatic Secure Fingerprint Verification System Based on Fuzzy Vault Scheme
Shenglin Yang, Ingrid Verbauwhede, University of California, Los Angeles, United States

ITT-P1.2: Separation and Localization of Auditory and Visual P300 Sources In Schizophrenia Patients Via Constrained BSS
Lokianous Spyrou, Saeid Sanei, Cardiff University, United Kingdom; Alex Sumich, King's College Hospital, United Kingdom

ITT-P1.3: Prostate Boundary Detection in Transrectal Ultrasound Images
Ying Zhang, Wei Qian, Ravi Sankar, University of South Florida, United States

ITT-P1.4: A Novel Combined ICA and Clustering Technique for the Classification of Gene Expression Data
Amrish Kapoor, King's College London, United Kingdom; Thomas Bowles, Jonathon A. Chambers, Cardiff University, United Kingdom

ITT-P1.5: Real-time Hearing Assessment Device Based on Distortion Product Otoacoustic Emissions
Mark Fitzpatrick, David McNamara, Alireza Ziarani, Clarkson University, United States

ITT-P1.6: Linear Predictive Coding Of Myoelectric Signals
Elias Carotti, Juan Carlos De Martin, Dario Farina, Roberto Merletti, Politecnico di Torino, Italy

ITT-P1.7: Single Trial Hemodynamic Response Estimation In A Block Anagram Solution Study Using fNIR Spectroscopy
Meltem Izzetoglu, Drexel University, United States; Shoko Nioka, Britton Chance, University of Pennsylvania, United States; Banu Onaral, Drexel University, United States

ITT-P1.8: An application of system theory to stochastic models for first order chemical reactions
Xueying Zhang, Katrien De Cock, Mónica Bugallo, Petar Djuric, Stony Brook University, United States

ITT-P1.9: Vascular Resistance Estimation in Renal Hemodynamics using a Time-Varying Windkessel Model
Mohammad Abu-Naser, Geoffrey Williamson, Illinois Institute of Technology, United States; Anil Bidani, Karen Griffin, Loyola University Medical Center, United States

ITT-P1.10: Real-Time Modeling and Prediction of Physiological Hand Tremor
Jing Zhang, Fang Chu, University of Arkansas at Little Rock, United States

ITT-P1.11: Detection of Insect Damaged Wheat Kernels By Impact Acoustics
Tom Pearson, USDA-ARS, United States; A. Enis Cetin, Bilkent University, Turkey; Ahmed Tewfik, University of Minnesota, United States

ITT-P1.12: A Fast DFT based Gene Prediction Algorithm for Identification of Protein Coding Regions
Suprakash Datta, Amir Asif, York University, Canada

ITT-P2: Signal Processing Applications

ITT-P2.1: System Level Adaptive Framework for Power and Performance Scaling on Intel® PXA27X Processor
Priya Vaidya, Moinul Khan, Bryan Morgan, Prem Sakarda, Intel Corporation, United States

ITT-P2.2: New Optimizations For Carrier Synchronization In Single Carrier Systems
Kiran Gunnam, Kanu Chadha, Schlumberger, United States; Mark Yeary, University of Oklahoma, United States

ITT-P2.3: A Multi-Core SoC Design for Advanced Image and Video Compression
Andreas Dehnhardt, Mark B. Kulaczewski, Lars Friebe, Sören Moch, Peter Pirsch, University of Hannover, Germany; Hans-Joachim Stolberg, Carsten Reuter, Videantis GmbH, Germany

ITT-P2.4: Antenna Array Configuration for High-Thoughput Communications
Joel Goodman, Peter Parker, MIT Lincoln Laboratory, United States

ITT-P2.5: Complexity Reduction of Partial Update Oversampled Subband Adaptive Algorithms By Selective Pruning of Polyphase Components
Kevin R. L. Whyte, Hamid Sheikhzadeh Nadjar, Robert L. Brennan, AMI Semiconductor Canada, Canada; Hamid Reza Abutalebi, University of Yazd, Iran (Islamic Republic of)

ITT-P2.6: In-Cylinder Pressure Reconstruction for Multicylinder SI-Engine by Combined Processing of Engine Speed and One Cylinder Pressure
Haris Hamedovic, Franz Raichle, Robert Bosch GmbH, Germany; Johann F. Böhme, Ruhr-Universitaet Bochum, Germany

ITT-P2.7: Evaluation Of Knock Begin In Spark-Ignition Engines By Least-Squares
Mark Urlaub, Johann F. Böhme, Ruhr-Universität Bochum, Germany

ITT-P2.8: An Adapative Spread-Spectrum Data Hiding Technique For Digital Audio
Mark Sterling, Edward Titlebaum, Xiaoxiao Dong, Mark Bocko, University of Rochester, United States

ITT-P2.9: Stream Cipher Using Finite-Field Wavelets
Farshid Delgosha, Faramarz Fekri, Georgia Institute of Technology, United States

ITT-P2.10: Support Vector Methods and Use of Hidden Variables for Power Plant Monitoring
Chao Yuan, Claus Neubauer, Zehra Cataltepe, Siemens Corporate Research, United States; Hans-Gerd Brummel, Siemens Westinghouse Power Corporation, United States

ITT-P2.11: On Geolocation in Ill-conditioned BS-MS Layouts
Yihong Qi, NiCT, Japan; Takahiro Asai, Hitoshi Yoshino, NTT DoCoMo, Japan; Nobuo Nakajima, University of Electro-Communications, Japan

ITT-P2.12: Application of Ground Penetrating Radar Technology for Near-Surface Interface Determination in Coal Mining
Andrew Strange, Queensland University of Technology, Australia; Jonathon Ralston, CSIRO, Australia; Vinod Chandran, Queensland University of Technology, Australia

ITT-P2.13: Active Sensor Waveform Design for Motion Insensitivity
Douglas Colclough, Edward Titlebaum, University of Rochester, United States

ITT-P2.14: Detection of Low Observable Targets within Sea Clutter by Structure Function based Multifractal Analysis
Jing Hu, Jianbo Gao, University of Florida, United States; Kung Yao, University of California, Los Angeles, United States; Ungsik Kim, University of Florida, United States

SS-1: Advances in Sparse Signal Representation

SS-1.1: Recent Advances in Sparsity-driven Signal Recovery
David Donoho, Yaakov Tsaig, Stanford University, United States

SS-1.2: A Simple Test to Check the Optimality of Sparse Signal Approximations
Rémi Gribonval, IRISA-INRIA, France; Rosa Maria Figueras i Ventura, Pierre Vandergheynst, Swiss Federal Institute of Technology (EPFL), Switzerland

SS-1.3: Simultaneous sparse approximation via greedy pursuit
Joel Tropp, Anna Gilbert, Martin Strauss, University of Michigan, United States

SS-1.4: Reduced Complexity Bounded Error Subset Selection
Masoud Alghoniemy, University of Alexandria, Egypt; Ahmed Tewfik, University of Minnesota, United States

SS-1.5: Sparsity and Uniqueness for some Specific Under-determined Linear Systems.
Jean-Jacques Fuchs, Univ. de Rennes 1, France

SS-1.6: Homotopy continuation for sparse signal representation
Dmitry Malioutov, Müjdat Cetin, Alan Willsky, Massachusetts Institute of Technology, United States

SS-2: Signals and Their Processing for Data Storage Systems

SS-2.1: Future Read Channel Technologies and Challenges for High Density Data Storage Applications
Erozan M. Kurtas, M. Fatih Erden, Xueshi Yang, Seagate Technology, United States

SS-2.2: Spectrum Shaping Constrained Codes for Recording
Bane Vasic, University of Arizona, United States; Stojan Denic, University of Ottawa, Canada; Rathnakumar Radhakrishnan, University of Arizona, United States

SS-2.3: Signal Processing for Probe Storage
Haralampos Pozidis, Peter Baechtold, Giovanni Cherubini, Evangelos Eleftheriou, Cristoph Hagleitner, Aggeliki Pantazi, Abu Sebastian, IBM Research Division, Zurich Research Laboratory, Switzerland

SS-2.4: Two-Dimensional Optical Storage
Wim Coene, Dominique Bruls, Andre Immink, Alexander van der Lee, Andries Hekstra, Philips Research Laboratories, Netherlands; Jamal Riani, Steven van Beneden, Massimo Ciacci, Jan Bergmans, Eindhoven University of Technology, Netherlands; Motohiro Furuki, Sony Corporation, Japan

SS-2.5: Signal Processing and Coding for M-ary Optical Storage
Steven McLaughlin, Georgia Institute of Technology, United States

SS-2.6: Equation Based LDPC Decoder for Intersymbol Interference Channels
Zining Wu, Gregory Burd, Marvell Semiconductor, United States

SS-3: Statistical Signal Processing in the Post-genomic Era

SS-3.1: Signal Processing Challenges in The Post-Genomic Era
Amir A. Handzel, BG Medicine, Inc., United States

SS-3.2: Network constrained clustering for gene microarray data
Dongxiao Zhu, Alfred O. Hero III, University of Michigan, United States

SS-3.3: Parameter Estimation for Two Synthetic Gene Networks: A Case Study
David Braun, Subhayu Basu, Ron Weiss, Princeton University, United States

SS-3.4: Biclustering of DNA Microarray Data with Early Pruning
Ahmed Tewfik, Alain Tchagang, University of Minnesota, United States

SS-3.5: An Independent Component Analysis Approach to Perfusion Weighted Imaging
Yang Wu, Hamid Krim, North Carolina State University, United States; Hongyu An, Weili Lin, University of North Carolina, Chapel Hill, United States

SS-3.6: Statistical Signal Processing Approach to DNA Repair
Ram Sever, Hagit Yaron Messer, Tel-Aviv University, Israel

SS-4: Energy Constrained Signal Processing, Communications, and Networking

SS-4.1: Critical Issues in Energy-Constrained Sensor Networks: Synchronization, Scheduling, and Acquisition
Brian Sadler, Army Research Laboratory, United States

SS-4.2: Architectures for Energy-aware Impulse UWB Communications
Raúl Blázquez, Anantha Chandrakasan, Massachusetts Institute of Technology, United States

SS-4.3: POMDP Multi-armed Bandit Formulation for Energy Minimization in Sensor Networks
Vikram Krishnamurthy, University of British Columbia, Canada

SS-4.4: Energy-Throughput Optimization for Wireless ARQ Protocol
Naveen Arulselvan, Randall Berry, Northwestern University, United States

SS-4.5: Energy-Efficient Adaptive Routing for Ad Hoc Networks with Time-Varying Heterogeneous Traffic
Qing Zhao, University of California, Davis, United States; Lang Tong, Cornell University, United States

SS-4.6: Energy Efficient Routing based on Cooperative MIMO Techniques
Shuguang Cui, Andrea Goldsmith, Stanford University, United States

SS-5: Large random matrices and perfomance evaluation of large digital communication systems

SS-5.1: An Overview of Large System Analysis for Multi-Input Multi-Output Channels
Michael Honig, Northwestern University, United States; Matthew Peacock, Iain Collings, University of Sydney, Australia

SS-5.2: On the Asymptotic Performance of MIMO Correlated Ricean Channels
Julien Dumont, Philippe Loubaton, IGM LABINFO, France; Samson Lasaulce, CNRS-LSS, France; Mérouane Debbah, Institut Eurecom, France

SS-5.3: Asymptotic Performance of Code-reference Spatial Filters for Multicode DS/CDMA
Francisco Rubio, Xavier Mestre, CTTC, Spain

SS-5.4: Spectral efficiency of CDMA Uplink Cellular Networks
Nicolas Bonneau, INRIA, France; Mérouane Debbah, Eurecom Institute, France; Eitan Altman, INRIA, France; Giuseppe Caire, Eurecom Institute, France

SS-5.5: Asymptotic Outage Capacity of Multiantenna Channels
Antonia Tulino, Università degli Studi di Napoli, Italy; Sergio Verdú, Princeton University, United States

SS-5.6: Linear receivers for multiuser MIMO channels
Ezio Biglieri, Alessandro Nordio, Giorgio Taricco, Politecnico di Torino, Italy

SS-6: Signal Processing for Molecular Imaging

SS-6.1: Ultrasonic Techniques for Molecular Imaging
Christopher Hall, Philips Research USA, United States

SS-6.2: Early Photon Optical Tomography
Vasilis Ntziachristos, Antoine Soubret, Gordon Turner, Harvard University, United States

SS-6.3: Cellular Imaging-based Biological Analysis for Cancer Diagnostics and Drug Target Development
Desok Kim, Information and Communications University, Republic of Korea; Young Il Yeom, Korea Research Inst. of Bioscience & Biotechnology, Republic of Korea

SS-6.4: Computing the 3-D structure of viruses from electron microscope images
Junghoon Lee, Peter Doerschuk, Purdue University, United States; Jinghua Tang, John E. Johnson, The Scripps Research Institute, United States

SS-6.5: In Vivo Optical Molecular Imaging:Principles and Signal Processing Issues
Jong Chul Ye, Korea Advanced Institute of Science and Technology, Republic of Korea; Kevin Webb, Purdue University, United States; Rick Millane, University of Canterbury, New Zealand; Charles Bouman, Purdue University, United States

SS-6.6: Image Quality Improvements with Time-of-Flight Positron Emission Tomography for Molecular Imaging
Ravindra Manjeshwar, Yiping Shao, Floris Jansen, General Electric Global Research, United States

SS-7: Towards a New Generation of Radio Astronomical Instruments

SS-7.2: ALMA: Imaging At the Outer Limits of Radio Astronomy
Alwyn Wootten, Darrel Emerson, National Radio Astronomy Observatory, United States

SS-7.3: Wide field imaging problems in Radio Astronomy
Tim Cornwell, Kumar Golap, Sanjay Bhatnagar, National Radio Astronomy Observatory, United States

SS-7.4: LOFAR: The First of a New Generation of Radio Telescopes
Marco de Vos, ASTRON, Netherlands

SS-7.5: Calibration, Sensitivity and RFI Mitigation Requirements for LOFAR
Albert-Jan Boonstra, Stefan Wijnholds, ASTRON, Netherlands; Sebastiaan van der Tol, Delft University of Technology, Netherlands; Brian Jeffs, Brigham Young University, United States

SS-7.6: Radio Frequency Interference Mitigation in Radioastronomy
Michael Kesteven, CSIRO, Australia

SS-8: Advances in Waveform Agile Sensor Processing

SS-8.1: Waveform-Agile Sensing: Opportunities and Challenges
Douglas Cochran, DARPA, United States

SS-8.2: Time-Varying Waveform Selection and Configuration for Agile Sensors in Tracking Applications
Sandeep Sira, Arizona State University, United States; Antonia Papandreou-Suppappola, Arizona State University, United States; Darryl Morrell, Arizona State University, United States

SS-8.3: Non-myopic Approaches to Scheulding Agile Sensors for Multitarget Detection, Tracking, and Identification
Chris Kreucher, General Dynamics, United States; Alfred O. Hero III, University of Michigan, United States

SS-8.4: Multi Step Ahead Beam and Waveform Scheduling for Tracking of Manoeuvering Targets in Clutter
Sofia Suvorova, Darko Mušicki, Bill Moran, University of Melbourne, Australia; Stephen Howard, Defence Science & Technology Organisation, Australia; Barbara La Scala, University of Melbourne, Australia

SS-8.5: Hybrid Transmit Waveform Design Based on Beamforming and Orthogonal Space-Time Block Coding
Guido Dietl, Munich University of Technology, Germany; Jianqi Wang, Peilu Ding, Michael Zoltowski, David Love, Purdue University, United States; Wolfgang Utschick, Munich University of Technology, Germany

SS-8.6: Relationships Between Radar Ambiguity and Coding Theory
Stephen Howard, Defence Science & Technology Organisation, Australia; Robert Calderbank, Princeton University, United States; William Moran, University of Melbourne, Australia; Harry Schmitt, Craig Savage, Raytheon Missile Systems, United States

SS-9: Robust Video Coding

SS-9.1: Robust Video Coding - An Overview
Sheila Hemami, Cornell University, United States

SS-9.2: End-to-End Rate-Distortion Optimized Mode Selection for Multiple Description Video Coding
Brian Heng, Massachusetts Institute of Technology, United States; John Apostolopoulos, Hewlett-Packard Laboratories, United States; Jae Lim, Massachusetts Institute of Technology, United States

SS-9.3: Cross-Layer Resource Allocation for Delay-Constrained Wireless Video Transmission
Anna Scaglione, Cornell University, United States; Mihaela van der Schaar, University of California, Davis, United States

SS-9.4: Comparison of Redundant Wavelet Schemes for Multiple Description Coding of Video Sequences
Teodora Petrisor, Christophe Tillier, Béatrice Pesquet-Popescu, ENST, France; Jean-Christophe Pesquet, Université de Marne-la-Vallée, France

SS-9.5: Motion-Compensated Oversampled Filterbanks for Robust Video Coding
Jui-Chiu Chiang, Michel Kieffer, Pierre Duhamel, LSS - CNRS - Supélec - Université Paris-Sud, France

SS-9.6: Video Coding with Motion-Compensated Temporal Transforms and Side Information
Markus Flierl, Pierre Vandergheynst, Swiss Federal Institute of Technology (EPFL), Switzerland

SS-10: Modeling, Indentification, and Control of Large-scale Dynamical Systems

SS-10.1: Particle Methods for Optimal Filter Derivative: Application to Parameter Estimation
George Poyiadjis, Arnaud Doucet, Sumeetpal Singh, Cambridge University, United Kingdom

SS-10.2: Adaptive Controlled Brownian Dynamics Approach for Permeation in Bio-Nanotubes
VIkram Krishnamurthy, University of British Columbia, Canada; Shin-Ho Chung, Australian National University, Australia

SS-10.3: Optimizing IEEE 802.11 DCF using Bayesian Estimators of the Network State
Alberto Lopez Toledo, Columbia University, United States; Tom Vercauteren, INRIA Sophia-Antipolis, France; Xiaodong Wang, Columbia University, United States

SS-10.4: Evaluating Causal Relationships in Wireless Sensor/Actuator Networks
Mark Coates, McGill University, Canada

SS-10.5: Tracking Multiple Closely Spaced Targets using an Adaptive Foveal Sensor
Fengjun Xi, Darryl Morrell, Arizona State University, United States

SS-10.6: Modeling, Identification, and Control of Large-Scale Dynamical Systems
Simon Haykin, McMaster University, Canada; Alfred O. Hero III, University of Michigan, United States; Eric Moulines, ENST, United States

SS-11: Human Language Technology: Applications and Challenge of Speech Processing - Part I

SS-11.1: Human Language Technology: Opportunities and Challenges
Mari Ostendorf, University of Washington, United States; Elizabeth Shriberg, Andreas Stolcke, SRI International, United States

SS-11.2: Approaches and Applications of Audio Diarization
Douglas Reynolds, Pedro Torres-Carrasquillo, MIT Lincoln Laboratory, United States

SS-11.3: Structural Metadata Research in the EARS Program
Yang Liu, Elizabeth Shriberg, Andreas Stolcke, Barbara Peskin, Jeremy Ang, International Computer Science Institute, United States; Dustin Hillard, Mari Ostendorf, University of Washington, United States; Marcus Tomalin, Phil Woodland, University of Cambridge, United Kingdom; Mary Harper, Purdue University, United States

SS-11.4: Parsing and Its Applications for Conversational Speech
Matthew Lease, Eugene Charniak, Mark Johnson, Brown University, United States

SS-11.5: Machine Translation in the Year 2004
Kevin Knight, Daniel Marcu, University of Southern California, United States

SS-11.6: Information Extraction
Lance A. Ramshaw, Ralph M. Weischedel, BBN Technologies, United States

SS-12: Recent Developments in Ultrasound Imaging Technology

SS-12.1: High resolution ultrasonic brain imaging: adaptive focusing based on twin-arrays
Francois Vignon, Jean-Francois Aubry, Mickael Tanter, Mathias Fink, Université Paris VII, France

SS-12.2: Real-Time Digital Processing of Doppler Ultrasound Signals (Supplemental Multimedia Files available for this paper)
Giacomo Bambi, Paolo Fidanzati, Tiziano Morganti, Stefano Ricci, Piero Tortoli, Università di Firenze, Italy

SS-12.3: Ultrasonic Imaging of the Mechanical Properties of Tissues Using Localized, Transient Acoustic Radiation Force
Kathryn Nightingale, Mark Palmeri, Kristin Frinkley, Amy Sharma, Liang Zhai, Gregg Trahey, Duke University, United States

SS-12.4: Array Signal Processing Approaches to Ultrasound-Based Arterial Pulse Wave Velocity Estimation
Ralph Hoctor, Aaron Dentinger, Kai Thomenius, General Electric Global Research, United States

SS-12.5: Ultrasound Tomography of the Breast Using Linear Arrays
Pai-Chi Li, Sheng-Wen Huang, National Taiwan University, Taiwan

SS-12.6: Ultrasound Imaging : Signal Acquisition, New Advanced Processing for Biomedical and Industrial Applications
Denis Kouamé, Jean-Marc Grégoire, Léandre Pourcelot, Jean-Marc Girault, Marc Lethiecq, Frédéric Ossant, University of Tours, France

SS-13: Human Language Technology: Applications and Challenge of Speech Processing - Part II

SS-13.1: From Text to Speech Summarization
Kathleen McKeown, Julia Hirschberg, Michel Galley, Sameer Maskey, Columbia University, United States

SS-13.2: Real-World Audio Indexing Systems
Beth Logan, David Goddeau, J. M. Van Thong, Hewlett-Packard, United States

SS-13.3: Combining Text and Audio-Visual Features in Video Indexing
Shih-Fu Chang, Columbia University, United States; R. Manmatha, University of Massachusetts, Amherst, United States; Tat-Seng Chua, National University of Singapore, Singapore

SS-13.4: Measuring Human Readability of Machine Generated Text: Three Case Studies in Speech Recognition and Machine Translation
Douglas Jones, MIT Lincoln Laboratory, United States; Edward Gibson, Massachusetts Institute of Technology, United States; Wade Shen, MIT Lincoln Laboratory, United States; Neil Granoien, Martha Herzog, Defense Language Institute, United States; Douglas Reynolds, Clifford Weinstein, MIT Lincoln Laboratory, United States

SS-13.5: User-centered Evaluation for Machine Translation of Spoken Language
David Palmer, Virage, United States

SS-13.6: Portability Challenges in Developing Interactive Dialogue Systems
Yuqing Gao, Liang Gu, Hong-Kwang (Jeff) Kuo, IBM T. J. Watson Research Center, United States

SS-14: Applications of Differential Geometry to Signal Processing

SS-14.1: On the Role of Differential Geometry in Signal Processing
Jonathan Manton, University of Melbourne, Australia

SS-14.2: Quantization on the Grassmann manifold: Applications to precoded MIMO wireless systems
Bishwarup Mondal, Robert Heath, University of Texas, Austin, United States; Hanlen Leif, National ICT Australia, Australia

SS-14.3: Information geometry of turbo and LDPC codes
Shiro Ikeda, Institute of Statistical Mathematics, Japan

SS-14.4: Intrinsic Variance Lower Bound (IVLB): An Extension of the Cramer-Rao Bound to Riemannian Manifolds
João Xavier, Victor Barroso, Instituto Superior Técnico, Portugal

SS-14.5: Applications of Planar Shape Analysis to Image-Based Inferences
Anuj Srivastava, Shantanu Joshi, David Kaziska, Florida State University, United States; David Wilson, University of Florida, United States

SS-14.6: Generalizations of the Rayleigh Quotient Iteration for the iterative refinement of the eigenvectors of real symmetric matrices
Maziar Nikpour, Catholic University of Louvain, Belgium; Knut Hueper, National ICT Australia, Australia; Jonathan Manton, University of Melbourne, Australia

SS-15: Statistical Signal Processing in Sensor Networks

SS-15.1: Adaptive Statistical Sampling Methods for Decentralized Estimation and Detection of Localized Phenomena
Erhan Ermis, Venkatesh Saligrama, Boston University, United States

SS-15.2: How Dense Should a Sensor Network be for Detection Applications?
Jean-François Chamberland, Texas A&M University, United States; Venugopal Veeravalli, University of Illinois at Urbana-Champaign, United States

SS-15.3: A Distributed Broadcasting Time-Synchronization Scheme for Wireless Sensor Networks
Nima Khajehnouri, Ali H. Sayed, University of California, Los Angeles, United States

SS-15.4: Robust Decentralized Source Localization via Averaging
Michael Rabbat, Robert Nowak, James Bucklew, University of Wisconsin-Madison, United States

SS-15.5: Optimization Approaches to Dynamic Routing of Measurements and
Models in a Sensor Network Object Tracking Problem

Jason Williams, John Fisher III, Alan Willsky, Massachusetts Institute of Technology, United States

SS-15.6: Communication-Estimation Tradeoffs in Wireless Sensor Networks
Sung-Hyun Son, Sanjeev Kulkarni, Stuart Schwartz, Princeton University, United States; Mike Roan, Pennsylvania State University, United States

SS-16: High-Dimensional Geometry in Signal Processing

SS-16.1: Spectral Analysis of Alignment in Manifold Learning
Hongyuan Zha, Pennsylvania State University, United States; Zhenyue Zhang, Zhejiang University, China

SS-16.2: High-Resolution Navigation on Non-Differentiable Image Manifolds
Michael Wakin, Rice University, United States; David Donoho, Stanford University, United States; Hyeokho Choi, Richard Baraniuk, Rice University, United States

SS-16.3: Classification Constrained Dimensionality Reduction
Jose Costa, Alfred O. Hero III, University of Michigan, United States

SS-16.4: Unsupervised Classification via Decision Trees: An Information-Theoretic Perspective
Damianos Karakos, Sanjeev Khudanpur, Jason Eisner, Carey Priebe, Johns Hopkins University, United States

SS-16.5: Estimating Dependency and Significance for High-Dimensional Data
Michael Siracusa, Kinh Tieu, Alexander Ihler, John Fisher III, Alan Willsky, Massachusetts Institute of Technology, United States

SS-16.6: Level Set Estimation via Trees
Rebecca Willett, Robert Nowak, University of Wisconsin-Madison, United States

SS-17: Distributed Source and Joint Source-channel Coding

SS-17.1: Distributed Source and Joint Source-Channel Coding: from Theory to Practice
Javier Garcia-Frias, University of Delaware, United States; Zixiang Xiong, Texas A&M University, United States

SS-17.2: Design of Optimal Quantizers for Distributed Coding of Noisy Sources
David Rebollo-Monedero, Bernd Girod, Stanford University, United States

SS-17.3: On Enhancing MPEG Video Broadcast over Wireless Networks with an Auxiliary Broadcast Channel (Supplemental Multimedia Files available for this paper)
Jiajun Wang, Abhik Majumdar, Kannan Ramchandran, University of California, Berkeley, United States

SS-17.4: Towards Bridging the Gap Between Theory and Practice for the Slepian-Wolf Problem
Todd Coleman, Muriel Médard, Massachusetts Institute of Technology, United States; Michelle Effros, California Institute of Technology, United States

SS-17.5: On the Interaction of Data Representation and Routing in Sensor Networks
Razvan Cristescu, California Institute of Technology, United States; Baltasar Beferull-Lozano, Martin Vetterli, Swiss Federal Institute of Technology (EPFL), Switzerland; Deepak Ganesan, University of Massachusetts, Amherst, United States; Jugoslava Acimovic, Swiss Federal Institute of Technology (EPFL), Switzerland

SS-17.6: Wyner-Ziv Coding for the Half-Duplex Relay Channel
Zhixin Liu, Vladimir Stankovic, Zixiang Xiong, Texas A&M University, United States