Subband Adaptive Filtering - Theory and Implementation
by
Kong-Aik Lee - Woon-Seng S. Gan - Sen M. Kuo
A guide to the theory of various subband adaptive filtering techniques. It offers an introduction for researchers, graduate students and engineers who want to design and deploy subband adaptive filters in their research and applications. It bridges the gaps between two distinct domains: adaptive filter theory and multirate signal processing.
Top page
Complete description
Subband adaptive filtering is rapidly becoming one of the most effective techniques for reducing computational complexity and improving the convergence rate of algorithms in adaptive signal processing applications. This book provides an introductory, yet extensive guide on the theory of various subband adaptive filtering techniques. For beginners, the authors discuss the basic principles that underlie the design and implementation of subband adaptive filters. For advanced readers, a comprehensive coverage of recent developments, such as multiband tap-weight adaptation, delayless architectures, and filter-bank design methods for reducing band-edge effects are included. Several analysis techniques and complexity evaluation are also introduced in this book to provide better understanding of subband adaptive filtering. This book bridges the gaps between the mixed-domain natures of subband adaptive filtering techniques and provides enough depth to the material augmented by many MATLAB[registered] functions and examples.
It acts as a timely introduction for researchers, graduate students and engineers who want to design and deploy subband adaptive filters in their research and applications. It bridges the gaps between two distinct domains: adaptive filter theory and multirate signal processing. It uses a practical approach through MATLAB[registered]-based source programs on the accompanying CD. It includes more than 100 M-files, allowing readers to modify the code for different algorithms and applications and to gain more insight into the theory and concepts of subband adaptive filters. "Subband Adaptive Filtering" is aimed primarily at practicing engineers, as well as senior undergraduate and graduate students. It will also be of interest to researchers, technical managers, and computer scientists.
Top page
General info
Publisher & Imprint:
Wiley-Blackwell (an imprint of John Wiley & Sons Ltd)
City:
Chicester
Pages:
344
More info:
height 244 mm
width 168 mm
Top page
Age recommended:
Professional and scholarly
Subject Indexing & Classification
Dewey: 621.3822
Summary
Subband Adaptive Filtering - Theory and Implementation
Contents About the Authors Preface Acknowledgments List of Symbols List of Abbreviations 1 Introduction to Adaptive Filters 1.1 Adaptive Filtering 1.2 Adaptive Transversal Filters 1.3 Performance Surfaces 1.4 Adaptive Algorithms 1.5 Spectral Dynamic Range and Misadjustment 1.6 Applications of Adaptive Filters 1.7 Transform-Domain and Subband Adaptive Filters 1.8 Summary References 2 Subband Decomposition and Multirate Systems 2.1 Multirate Systems 2.2 Filter Banks 2.3 Paraunitary Filter Banks 2.4 Block Transforms 2.5 Cosine-Modulated Filter Banks 2.6 DFT Filter Banks 2.7 A Note on Cosine Modulation 2.8 Summary References 3 Second-Order Characterization of Multirate Filter Banks 3.1 Correlation-Domain Formulation 3.2 Cross Spectrum 3.3 Orthogonality at Zero Lag 3.4 Case Study: Subband Orthogonality of Cosine-Modulated Filter Banks 3.5 Summary References 4 Subband Adaptive Filters 4.1 Subband Adaptive Filtering 4.2 Subband Adaptive Filter Structures 4.3 Aliasing, Band-Edge Effects and Solutions 4.4 Delayless Subband Adaptive Filters 4.5 MATLAB Examples 4.6 Summary References 5 Critically Sampled and Oversampled Subband Systems 5.1 Variants of Critically Sampled Subband Adaptive Filters 5.2 Oversampled and Nonuniform Subband Adaptive Filters 5.3 Filter Bank Design 5.4 Case Study: Proportionate Subband Adaptive Filtering 5.5 Summary References 6 Multiband-Structured Subband Adaptive Filters 6.1 Multiband Structure 6.2 Multiband Adaptation 6.3 Underdetermined Least-Squares Solutions 6.4 Stochastic Interpretations 6.5 Filter Bank Design Issues 6.6 Delayless MSAF 6.7 MATLAB Examples References 7 Stability and Performance Analysis 7.1 Algorithm, Data Model and Assumptions 7.2 Multiband MSE Function 7.3 Mean Analysis 7.4 Mean-Square Analysis 7.5 MATLAB Examples 7.6 Summary References 8 New Research Directions 8.1 Recent Research on Filter Bank Design 8.2 New SAF Structures and Algorithms 8.3 Theoretical Analysis 8.4 Applications of the SAF 8.5 Further Research on Multiband-Structured SAF 8.6 Concluding Remarks References Appendix A Programming in MATLAB A.1 MATLAB Fundamentals A.1.1 Starting MATLAB A.1.2 Constructing and Manipulating Matrices A.1.3 The Colon Operator A.1.4 Data Types A.1.5 Working with Strings A.1.6 Cell Arrays and Structures A.1.7 MATLAB Scripting with M-Files A.1.8 Plotting in MATLAB A.1.9 Other Useful Commands and Tips A.2 Signal Processing Toolbox A.2.1 Quick Fact about the Signal Processing Toolbox A.2.2 Signal Processing Tool A.2.3 Window Design and Analysis Tool A.3 Filter Design Toolbox A.3.1 Quick Fact about the Filter Design Toolbox A.3.2 Filter Design and Analysis Tool A.3.3 MATLAB Functions for Adaptive Filtering A.3.4 A Case Study: Adaptive Noise Cancellation Appendix B Using MATLAB for Adaptive Filtering and Subband Adaptive Filtering B.1 Digital Signal Processing B.1.1 Discrete-Time Signals and Systems B.1.2 Signal Representation in MATLAB B.2 Filtering and Adaptive Filtering in MATLAB B.2.1 FIR Filtering B.2.2 The LMS Adaptive Algorithm B.2.3 Anatomy of the LMS Code in MATLAB B.3 Multiratae and Subband Adaptive Filtering B.3.1 Implementation of Multirate Filter Banks B.3.2 Implementation of a Subband Adaptive Filter Appendix C Summary of MATLAB Scripts, Functions, Examples and Demos Appendix D Complexity Analysis of Adaptive Algorithms Index
Top page
More titles by this author
More books from the same department
