ICASSP99 Filter Design and Structures

Filter Design and Structures
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	Adaptive Iterative Reweighted Least Squares Design Of L_p FIR Filters Authors: Ricardo A Vargas, Charles Sidney Burrus, Page (NA) Paper number 2396 Abstract: This paper presents an efficient adaptive algorithm for designing FIR digital filters that are efficient according to an L_p error criteria. The algorithm is an extension of Burrus' iterative reweighted least-squares (IRLS) method for approximating L_p filters. Such algorithm will converge for most significant cases in a few iterations. In some cases however, the transition bandwidth is such that the number of iterations increases significantly. The proposed algorithm controls such problem and drastically reduces the number of iterations required. IC992396.PDF (From Author) IC992396.PDF (Rasterized) TOP Quantization Noise Analysis of Wave Digital and Lossless Digital Integrator Allpass/Lattice Filters Authors: Johnny Holmberg, Lennart Harnefors, Svante Signell, Page (NA) Paper number 2346 Abstract: Quantization noise levels of two low-sensitive allpass filter structures, namely wave digital circulator filters (WDCF) and lossless digital integrator filters (LDIF), are compared. Allpass filters are of interest for design of lowpass and bandpass lattice filters. The results show, primarily, that second-order LDIFs have lower total quantization noise gains than corresponding WCDFs for any pole configuration within the right half-circle of the z plane. The benefit of using ladder LDIFs rather than cascaded first and second order sections is also demonstrated. IC992346.PDF (From Author) IC992346.PDF (Rasterized) TOP A New Normalized Relatively Stable Lattice Structure Authors: Chris W Schwarz, Soura Dasgupta, Page (NA) Paper number 2183 Abstract: This paper proposes a new lattice filter structure that has the following properties. When the filter is Linear Time Invariant (LTI), it is equivalent to the celebrated Gray Markel Lattice. When the lattice parameters vary with time it sustains arbitrary rate of time variations without sacrificing a prescribed degree of stability, provided that the lattice coefficients are magnitude bounded in a region where all LTI lattices have the same degree of stability. We also show that the resulting LTV lattice obeys an energy contraction condition. This structure thus generalizes the normalized Gray-Markel lattice which has similar properties but only with respect to stability as opposed to relative stability. IC992183.PDF (From Author) IC992183.PDF (Rasterized) TOP Tunable Digital Heterodyne IIR Filters Authors: Karl E Nelson, Michael A Soderstrand, Page (NA) Paper number 2170 Abstract: A new digital heterodyne filter is proposed that allow a prototype IIR or FIR filter to be shifted through the entire range of digital frequencies from DC to the Nyquist frequency. The unique properties of this new tunable filter are the range of tunability and the fact that all images created by the heterodyne process are cancelled. The proposed heterodyne filter is suitable both as a tunable filter and for use with standard adaptive algorithms to design adaptive digital filters --- especially adaptive notch filters. IC992170.PDF (From Author) IC992170.PDF (Rasterized) TOP Optimal Design of Real and Complex Minimum Phase Digital FIR Filters Authors: Niranjan Damera-Venkata, Brian L Evans, Page (NA) Paper number 2141 Abstract: We present a generalized optimal minimum phase digital FIR filter design algorithm that supports (1) arbitrary magnitude response specifications, (2) high coefficient accuracy, and (3) real and complex filters. The algorithm uses the Discrete Hilbert Transform relationship between the magnitude spectrum of a causal real sequence and its minimum phase delay phase spectrum given by Cizek. We extend the transform pair to the complex case. We show that the algorithm gives arbitrary coefficient accuracy. We present design examples that exceed the coefficient accuracy of the optimal real minimum phase filters reported by Chen and Parks and reduce the length of the optimal complex linear phase filters designed by Karam and McClellan. IC992141.PDF (From Author) IC992141.PDF (Rasterized) TOP A Multiple Exchange Algorithm for Constrained Design of FIR Filters in the Complex Domain Authors: Mathias C. Lang, Page (NA) Paper number 1234 Abstract: We present a fast multiple exchange algorithm that designs FIR filters with magnitude and phase specifications subject to constraints on the error function. We use a constrained least squares criterion which minimizes error energy and imposes bounds on the magnitude of the error. We can trade error energy versus peak error, and complex least squares and complex Chebyshev filters result as special cases. We provide a Matlab program implementing the proposed algorithm. This program has proved to be efficient and reliable. IC991234.PDF (From Author) IC991234.PDF (Rasterized) TOP Robust Envelope-Constrained Filter Design with Laguerre Bases Authors: C.H. Tseng, Australian Telecommunications Research Institute (Australia) Z. Zang, Australian Telecommunications Research Institute (Australia) K.L Teo, Australian Telecommunications Research Institute (Australia) Antoni Cantoni, Australian Telecommunications Research Institute (Australia) Page (NA) Paper number 1180 Abstract: The envelope-constrained filtering problem is concerned with the design of a filter such that the noise enhancement is minimized while the noiseless filter response stays within an envelope. Naturally, the optimum filter response to the prescribed input signal tends to touch the output boundaries at some points. Consequently, any disturbance to the prescribed input signal could result in the output constraints being violated. In this paper, we formulate a semi-infinite constrained optimization problem in which the margin of the constraint robustness of the filter is maximized. Using a smoothing technique, it is shown that the solution of the optimization problem can be obtained by solving a sequence of strictly convex optimization problems with integral cost. IC991180.PDF (From Author) IC991180.PDF (Rasterized) TOP A Contribution To The Stability Test For One Dimensional Discrete Time Linear Systems Authors: Anthony G. Constantinides, Signal Processing Section, Imperial College, UK (U.K.) Tania Stathaki, Signal Processing Section, Imperial College, UK (U.K.) Page (NA) Paper number 1064 Abstract: The objective of this paper is to produce a general formulation of an order reduction procedure for testing the stability of discrete time linear systems. The order reduction procedure involves a series of iterations and, at each step of the iteration process, the the aim is to derive a new polynomial of order lower than the given one. The new polynomial serves as the input to the following iteration. A specific form of the formulation is considered in which first order auxiliary polynomials are employed in the order reduction process. There follows from this a new testing procedure. The current methods appear as special cases of the new test. An extension is further proposed which employs second order auxiliary polynomials within the order reduction formulation. This second order form is however for all practical cases the limit to which such a procedure can be put. IC991064.PDF (From Author) IC991064.PDF (Rasterized) TOP