ICASSP99 Education

Education
Home Full List of Titles 1: Speech Processing CELP Coding Large Vocabulary Recognition Speech Analysis and Enhancement Acoustic Modeling I ASR Systems and Applications Topics in Speech Coding Speech Analysis Low Bit Rate Speech Coding I Robust Speech Recognition in Noisy Environments Speaker Recognition Acoustic Modeling II Speech Production and Synthesis Feature Extraction Robust Speech Recognition and Adaptation Low Bit Rate Speech Coding II Speech Understanding Language Modeling I 2: Speech Processing, Audio and Electroacoustics, and Neural Networks Acoustic Modeling III Lexical Issues/Search Speech Understanding and Systems Speech Analysis and Quantization Utterance Verification/Acoustic Modeling Language Modeling II Adaptation /Normalization Speech Enhancement Topics in Speaker and Language Recognition Echo Cancellation and Noise Control Coding Auditory Modeling, Hearing Aids and Applications of Signal Processing to Audio and Acoustics Spatial Audio Music Applications Application - Pattern Recognition & Speech Processing Theory & Neural Architecture Signal Separation Application - Image & Nonlinear Signal Processing 3: Signal Processing Theory & Methods I Filter Design and Structures Detection Wavelets Adaptive Filtering: Applications and Implementation Nonlinear Signals and Systems Time/Frequency and Time/Scale Analysis Signal Modeling and Representation Filterbank and Wavelet Applications Source and Signal Separation Filterbanks Emerging Applications and Fast Algorithms Frequency and Phase Estimation Spectral Analysis and Higher Order Statistics Signal Reconstruction Adaptive Filter Analysis Transforms and Statistical Estimation Markov and Bayesian Estimation and Classification 4: Signal Processing Theory & Methods II, Design and Implementation of Signal Processing Systems, Special Sessions, and Industry Technology Tracks System Identification, Equalization, and Noise Suppression Parameter Estimation Adaptive Filters: Algorithms and Performance DSP Development Tools VLSI Building Blocks DSP Architectures DSP System Design Education Recent Advances in Sampling Theory and Applications Steganography: Information Embedding, Digital Watermarking, and Data Hiding Speech Under Stress Physics-Based Signal Processing DSP Chips, Architectures and Implementations DSP Tools and Rapid Prototyping Communication Technologies Image and Video Technologies Automotive Applications / Industrial Signal Processing Speech and Audio Technologies Defense and Security Applications Biomedical Applications Voice and Media Processing Adaptive Interference Cancellation 5: Communications, Sensor Array and Multichannel Source Coding and Compression Compression and Modulation Channel Estimation and Equalization Blind Multiuser Communications Signal Processing for Communications I CDMA and Space-Time Processing Time-Varying Channels and Self-Recovering Receivers Signal Processing for Communications II Blind CDMA and Multi-Channel Equalization Multicarrier Communications Detection, Classification, Localization, and Tracking Radar and Sonar Signal Processing Array Processing: Direction Finding Array Processing Applications I Blind Identification, Separation, and Equalization Antenna Arrays for Communications Array Processing Applications II 6: Multimedia Signal Processing, Image and Multidimensional Signal Processing, Digital Signal Processing Education Multimedia Analysis and Retrieval Audio and Video Processing for Multimedia Applications Advanced Techniques in Multimedia Video Compression and Processing Image Coding Transform Techniques Restoration and Estimation Image Analysis Object Identification and Tracking Motion Estimation Medical Imaging Image and Multidimensional Signal Processing Applications I Segmentation Image and Multidimensional Signal Processing Applications II Facial Recognition and Analysis Digital Signal Processing Education Author Index A B C D E F G H I J K L M N O P Q R S T U V W X Y Z	Reflections on a Distance Education Experiment in DSP Authors: Delores M Etter, Geoffrey C Orsak, Page (NA) Paper number 3018 Abstract: Distance Education is becoming an increasingly important means of reaching a wider variety of traditional and non-traditional students and of developing unique educational partnerships between universities. In an effort to assist engineering departments just beginning to pursue distance education, the authors reflect on an innovative four year experiment in Internet based distance education involving students and faculty from the University of Colorado at Boulder, George Mason University, Rice University, Cornell University, and Sandia National Labs. The educational and research benefits to both the students and faculty will be discussed in detail. In addition, the weaknesses and limitations of this experiment will also be addressed. It is hoped that these comments and observations will benefit other institutions beginning to pursue similar distance education programs IC993018.PDF (From Author) IC993018.PDF (Rasterized) TOP Repackaging Signals, Systems And Circuits In The Core ECE Curriculum Authors: Thomas P Barnwell, James H McClellan, Russell M Mersereau, Ronald W Schafer, Page (NA) Paper number 3028 Abstract: For several years, we have been teaching DSP as a first course in Electrical and Computer Engineering at Georgia Tech. Such a dramatic rearrangement of the introductory material requires a new organization of topics and courses when teaching circuits and systems. In addition, the use of computer-enhanced course materials has a profound impact on the systems courses, which are quite mathematical and abstract in nature. This paper addresses some of the issues encountered when adopting a signal processing first approach. IC993028.PDF (From Author) IC993028.PDF (Rasterized) TOP Analog Signal Processing First Authors: David C. Munson Jr., Douglas L Jones, Page (NA) Paper number 3029 Abstract: The Department of Electrical and Computer Engineering at the University of Illinois recently adopted new undergraduate curricula. The most radical change was the introduction of ECE 210, Analog Signal Processing, in place of both the sophomore-level circuit analysis course and the junior-level signals and systems course. The new course combines core material from these traditional courses, along with applications such as AM radio and a modest laboratory component, in a way that improves both the students' understanding and their motivation. The new course still serves well as the base of the required curriculum and as a prerequisite for subsequent courses, while realizing savings in the early curriculum and allowing more time for advanced signal processing courses in future semesters. IC993029.PDF (From Author) IC993029.PDF (Rasterized) TOP A New Collaborative Active Learning Tool For Signal Processing Education Authors: Saad Lamouri, Yusuf Özturk, Hüseyin Abut, Page (NA) Paper number 3030 Abstract: ABSTRACT This paper introduces a distributed object based collaboration system called Collaboard, which can be effectively used to conduct Signal Processing classes in an interactive fashion. Collaboard allows a group of users in a heterogeneous network environment to share multimedia objects, such as text, geometric entities, equations, images, audio/video objects, and OLE objects. Collaboard supports multiple user groups and allows a user to actively participate in multiple learning groups. Matlab has been integrated into this Collaboard as the computational workhorse. The Matlab programs or tasks initiated by any participant are replicated over the network to every participant. Our Collaboard architecture is a distributed object-based tool supporting object video and object audio. The current version of the system includes a RealAudio Server to support streaming audio capability. We believe that the comprehensive and user-friendly architecture of this Collaboard will be a very powerful working tool for DSP/Communication systems classes in active learning environment. IC993030.PDF (From Author) IC993030.PDF (Rasterized) TOP Design of a Guided-Asynchronous Graduate Course in Multi-Media Signal Processing Authors: Virginia L Stonick, Wojtek Kolodziej, Otto Gygax, Page (NA) Paper number 3031 Abstract: This paper describes the design of a new guided-asynchronous graduate course in Multi-Media Signal Processing (MMSP). MMSP expertise is increasingly critical for many working engineers from diverse disciplines. Targeted students have some prior DSP-related experience, but need an introduction to MMSP fundamentals before participating in more specialized courses. A modular structure, asynchronous design and application focus are used to meet the educational and logistical needs of working engineers. Industry and University partners use MMSP technologies to provide remote access to pre-configured laboratory experiments and educational resources, and support for distributed collaboration and guided learning. Thus hands-on experience with MMSP technologies is integrated with learning about underlying MMSP concepts. A central element of the course design are on-line, multi-media topical learning modules which provide evaluation of student level of expertise, guidance in choosing course activities to effectively meet learning goals, student practice and projects, and feedback and evaluation of student performance. IC993031.PDF (From Author) IC993031.PDF (Rasterized) TOP DSPS Education: An Industry Leader's Experiences and Expectations Authors: C. Robert Hewes, Periagaram K Rajasekaran, Page (NA) Paper number 3032 Abstract: Texas Instruments is the industry leader in providing digital signal processing solutions to a variety of system applications including wireless communications, modems, hard disk drives, and many others. In this paper, the key roles of university research and education are described. The relationship of TI to the university community is reviewed. TI's expectations from university programs are also outlined. IC993032.PDF (Scanned) TOP