Least-Mean-Square Adaptive Filters

Copyright © 2003 John Wiley & Sons, Inc.

Least-Mean-Square Adaptive Filters

Editor(s): Simon Haykin, Bernard Widrow

Published Online: 28 JAN 2005

Print ISBN: 9780471215707

Online ISBN: 9780471461289

DOI: 10.1002/0471461288

About this Book

Product Information

About The Product
  • Edited by the original inventor of the technology.
  • Includes contributions by the foremost experts in the field.
  • The only book to cover these topics together.

Table of contents

    1. You have free access to this content
      Frontmatter (pages i–xiii)

    2. Chapter 1

      On the Efficiency of Adaptive Algorithms (pages 1–34)

      Bernard Widrow and Max Kamenetsky

    3. Chapter 2

      Traveling-Wave Model of Long LMS Filters (pages 35–78)

      Hans J. Butterweck

    4. Chapter 3

      Energy Conservation and the Learning Ability of LMS Adaptive Filters (pages 79–104)

      Ali H. Sayed and Vitor H. Nascimento

    5. Chapter 4

      On the Robustness of LMS Filters (pages 105–144)

      Babak Hassibi

    6. Chapter 5

      Dimension Analysis for Least-Mean-Square Algorithms (pages 145–173)

      Iven M.Y. Mareels, John Homer and Robert R. Bitmead

    7. Chapter 6

      Control of LMS-Type Adaptive Filters (pages 175–240)

      Prof. Dr.-Ing. Eberhard Hänsler and Gerhard Uwe Schmidt

    8. Chapter 7

      Affine Projection Algorithms (pages 241–291)

      Steven L. Gay

    9. Chapter 8

      Proportionate Adaptation: New Paradigms in Adaptive Filters (pages 293–334)

      Zhe Chen, Steven L. Gay and Simon Haykin

    10. Chapter 9

      Steady-State Dynamic Weight Behavior in (N)LMS Adaptive Filters (pages 335–443)

      A. A. (Louis) Beex and James R. Zeidler

    11. Chapter 10

      Error Whitening Wiener Filters: Theory and Algorithms (pages 445–489)

      Jose C. Principe, Yadunandana N. Rao and Deniz Erdogmus

    12. You have free access to this content
      Index (pages 491–494)

    13. You have free access to this content
      Adaptive and Learning Systems for Signal Processing, Communications, and Control (page 495)

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