Adaptive Filtering

Algorithms and Practical Implementation

  • Paulo S. R. Diniz

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Paulo S. R. Diniz
    Pages 1-11
  3. Paulo S. R. Diniz
    Pages 13-78
  4. Paulo S. R. Diniz
    Pages 79-135
  5. Paulo S. R. Diniz
    Pages 137-207
  6. Paulo S. R. Diniz
    Pages 209-247
  7. Paulo S. R. Diniz
    Pages 249-304
  8. Paulo S. R. Diniz
    Pages 305-347
  9. Paulo S. R. Diniz
    Pages 349-365
  10. Paulo S. R. Diniz
    Pages 367-409
  11. Paulo S. R. Diniz
    Pages 411-466
  12. Paulo S. R. Diniz
    Pages 467-499
  13. Paulo S. R. Diniz
    Pages 501-549
  14. Paulo S. R. Diniz
    Pages 551-583
  15. Paulo S. R. Diniz
    Pages 585-590
  16. Paulo S. R. Diniz
    Pages 591-603
  17. Paulo S. R. Diniz
    Pages 605-621
  18. Paulo S. R. Diniz
    Pages 623-634
  19. Paulo S. R. Diniz
    Pages E1-E3

About this book

Introduction

In the fourth edition of Adaptive Filtering: Algorithms and Practical Implementation, author Paulo S.R. Diniz 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 covered concepts. Many examples address problems drawn from actual applications. New material to this edition includes:

  • Analytical and simulation examples in Chapters 4, 5, 6 and 10
  • Appendix E, which summarizes the analysis of set-membership algorithm
  • Updated problems and references

Providing a concise background on adaptive filtering, this book covers the family of LMS, affine projection, RLS and data-selective set-membership algorithms as well as nonlinear, 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 algorithms in a quick manner. Additionally, the book provides 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

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-4106-9
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, Boston, MA
  • eBook Packages Engineering
  • Print ISBN 978-1-4614-4105-2
  • Online ISBN 978-1-4614-4106-9
  • About this book