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Subband Adaptive Filtering: Theory and Implementation Book

Subband Adaptive Filtering: Theory and Implementation
Subband Adaptive Filtering: Theory and Implementation, 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 , Subband Adaptive Filtering: Theory and Implementation has a rating of 4 stars
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Subband Adaptive Filtering: Theory and Implementation, 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 , Subband Adaptive Filtering: Theory and Implementation
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  • Subband Adaptive Filtering: Theory and Implementation
  • Written by author Kong-Aik Lee
  • Published by Wiley, John & Sons, Incorporated, August 2009
  • 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
  • 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
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List of abbreviations

1 Introduction to adaptive filters 1

2 Subband decomposition and multirate systems 41

3 Second-order characterization of multirate filter banks 73

4 Subband adaptive filters 99

5 Critically sampled and oversampled subband structures 133

6 Multiband-structured subband adaptive filters 167

7 Stability and performance analysis 203

8 New research directions 227

Appendix A Programming in MATLAB 241

Appendix B Using MATLAB for adaptive filtering and subband adaptive filtering 279

Appendix C Summary of MATLAB scripts, functions, examples and demos 301

Appendix D Complexity analysis of adaptive algorithms 307

Index 317


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Subband Adaptive Filtering: Theory and Implementation, 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 , Subband Adaptive Filtering: Theory and Implementation

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Subband Adaptive Filtering: Theory and Implementation, 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 , Subband Adaptive Filtering: Theory and Implementation

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