Adaptive Filtering: Algorithms And Practical Implementation: 3rd Edition

Adaptive Filtering: Algorithms And Practical Implementation: 3rd Edition

Adaptive Filtering: Algorithms And Practical Implementation: 3rd Edition

This book presents the basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner. The...

  • ISBN: 9788132206729
  • Availability: Out Of Stock
  • Author Paulo S. R. Diniz
  • Publisher Springer (India) Private Limited
  • Binding Paperback

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This book presents the basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner. The main classes of adaptive filtering algorithms are presented in a unified framework using clear notations that facilitate actual implementation. The main algorithms are described in tables which are detailed enough to allow the reader to verify the learned concepts. Many examples address problems drawn from actual applications. This book covers the family of LMS and algorithms as well as set-membership, sub-band, blind, IIR adaptive filtering, and more. Several problems are included at the end of chapters and some of these problems address applications. A user-friendly MATLAB package is provided where the reader can easily solve new problems and test all of the algorithms in a fast manner. Additionally, the book provides easy access to working algorithms for practicing engineers. The book has a solutions manual that is available from the publisher for instructors. Another resource for instructors is a set of master transparencies as a MATLAB Package including the MATLAB codes for all the algorithms described in the text which is available from the author. The author also has a web page for the book.

Table of Contents

  • Introduction to Adaptive Filtering
  • Fundamentals of Adaptive Filtering
  • The Least-Mean-Square (LMS) Algorithm
  • LMS-Based Algorithms
  • Conventional RLS Adaptive Filter
  • Data-Selective Adaptive Filtering
  • Adaptive Lattice-Based RLS Algorithms
  • Fast Transversal RLS Algorithms
  • QR-Decomposition-Based RLS Filters
  • Adaptive IIR Filters
  • Nonlinear Adaptive Filtering
  • Subband Adaptive Filters
  • Blind Adaptive Filtering
  • Appendix A: Complex Differentiation
  • Appendix B: Quantization Effects in the LMS Algorithm
  • Appendix C: Quantization Effects in the RLS Algorithm
  • Appendix D: Kalman Filters.
 
Author Paulo S. R. Diniz
ISBN 9788132206729
Langauage English
Pages 632
Binding Paperback

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