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Adaptive Filtering

Algorithms and Practical Implementation

  • Paulo S. R. Diniz
Textbook

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Paulo S. R. Diniz
    Pages 1-8
  3. Paulo S. R. Diniz
    Pages 9-60
  4. Paulo S. R. Diniz
    Pages 61-102
  5. Paulo S. R. Diniz
    Pages 103-155
  6. Paulo S. R. Diniz
    Pages 157-187
  7. Paulo S. R. Diniz
    Pages 189-229
  8. Paulo S. R. Diniz
    Pages 231-261
  9. Paulo S. R. Diniz
    Pages 263-274
  10. Paulo S. R. Diniz
    Pages 275-305
  11. Paulo S. R. Diniz
    Pages 307-346
  12. Paulo S. R. Diniz
    Pages 347-370
  13. Paulo S. R. Diniz
    Pages 371-406
  14. Paulo S. R. Diniz
    Pages 407-430
  15. Paulo S. R. Diniz
    Pages 431-456
  16. Back Matter
    Pages 457-495

About this book

Introduction

In the fifth edition of this textbook, author Paulo S.R. Diniz presents updated text on the basic concepts of adaptive signal processing and adaptive filtering. He first introduces the main classes of adaptive filtering algorithms in a unified framework, using clear notations that facilitate actual implementation. Algorithms are described in tables, which are detailed enough to allow the reader to verify the covered concepts. Examples address up-to-date problems drawn from actual applications. Several chapters are expanded and a new chapter ‘Kalman Filtering’ is included. The book provides a concise background on adaptive filtering, including the family of LMS, affine projection, RLS, set-membership algorithms and Kalman filters, as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more. Problems are included at the end of chapters. A MATLAB package is provided so the reader can solve new problems and test algorithms. The book also offers easy access to working algorithms for practicing engineers.

Keywords

Adaptive Algorithm Learning Systems Adaptive Control Adaptive Signal Processing Nonlinear Systems Self-designing Systems Signal Equalization Signal Modeling Signal Prediction Sub Band Processing System Identification

Authors and affiliations

  • Paulo S. R. Diniz
    • 1
  1. 1.Universidade Federal do Rio de JaneiroNiteróiBrazil

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