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  • Textbook
  • © 2002

Adaptive Filtering

Algorithms and Practical Implementation

  • Presents a concise overview of adaptive filtering, covering as many algorithms as possible in a unified form that avoids repetition and simplifies notation

Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 694)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xxi
  2. Introduction to Adaptive Filtering

    • Paulo Sergio Ramirez
    Pages 1-14
  3. Fundamentals of Adaptive Filtering

    • Paulo Sergio Ramirez
    Pages 15-77
  4. The Least-Mean-Square (LMS) Algorithm

    • Paulo Sergio Ramirez
    Pages 79-138
  5. LMS-Based Algorithms

    • Paulo Sergio Ramirez
    Pages 139-193
  6. Conventional RLS Adaptive Filter

    • Paulo Sergio Ramirez
    Pages 195-233
  7. Adaptive Lattice-Based RLS Algorithms

    • Paulo Sergio Ramirez
    Pages 235-286
  8. Fast Transversal RLS Algorithms

    • Paulo Sergio Ramirez
    Pages 287-307
  9. QR-Decomposition-Based RLS Filters

    • Paulo Sergio Ramirez
    Pages 309-359
  10. Adaptive IIR Filters

    • Paulo Sergio Ramirez
    Pages 361-422
  11. Nonlinear Adaptive Filtering

    • Paulo Sergio Ramirez
    Pages 423-465
  12. Subband Adaptive Filters

    • Paulo Sergio Ramirez
    Pages 467-526
  13. Quantization Effects in the LMS and RLS Algorithms

    • Paulo Sergio Ramirez
    Pages 527-558
  14. Back Matter

    Pages 559-568

About this book

Adaptive Filtering: Algorithms and Practical Implementation, Second Edition, presents a concise overview of adaptive filtering, covering as many algorithms as possible in a unified form that avoids repetition and simplifies notation. It is suitable as a textbook for senior undergraduate or first-year graduate courses in adaptive signal processing and adaptive filters. The philosophy of the presentation is to expose the material with a solid theoretical foundation, to concentrate on algorithms that really work in a finite-precision implementation, and to provide easy access to working algorithms. Hence, practicing engineers and scientists will also find the book to be an excellent reference.
This second edition contains a substantial amount of new material:

-Two new chapters on nonlinear and subband adaptive filtering;
-Linearly constrained Weiner filters and LMS algorithms;
-LMS algorithm behavior in fast adaptation;
-Affine projection algorithms;
-Derivation smoothing;
-MATLAB codes for algorithms.

Authors and Affiliations

  • Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

    Paulo Sergio Ramirez

Bibliographic Information

Buy it now

Buying options

eBook USD 74.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access