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9780471215707

Least-Mean-Square Adaptive Filters

by ;
  • ISBN13:

    9780471215707

  • ISBN10:

    0471215708

  • Edition: 1st
  • Format: Hardcover
  • Copyright: 2003-09-08
  • Publisher: Wiley-Interscience
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Summary

* 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.

Author Biography

SIMON HAYKIN, PhD, is University Professor and Director of the Adaptive Systems Laboratory at McMaster University. <BR>

Table of Contents

Contributors ix
Introduction: The LMS Filter (Algorithm) xi
Simon Haykin
1. On the Efficiency of Adaptive Algorithms 1(34)
Bernard Widrow and Max Kamenetsky
2. Traveling-Wave Model of Long LMS Filters 35(44)
Hans J. Butterweck
3. Energy Conservation and the Learning Ability of LMS Adaptive Filters 79(26)
Ali H. Sayed and V.H. Nascimento
4. On the Robustness of LMS Filters 105(40)
Bobak Hassibi
5. Dimension Analysis for Least-Mean-Square Algorithms 145(30)
Ivers M.Y. Mareels, John Homer, and Robert R. Bitmead
6. Control of LMS-Type Adaptive Filters 175(66)
Eberhard Hänsler and Gerhard Uwe Schmidt
7. Affine Projection Algorithms 241(52)
Steven L. Gay
8. Proportionate Adaptation: New Paradigms in Adaptive Filters 293(42)
Zhe Chen, Simon Haykin, and Steven L. Gay
9. Steady-State Dynamic Weight Behavior in (N)LMS Adaptive Filters 335(110)
A.A. (Louis) Beex and James R. Zeidler
10. Error Whitening Wiener Filters: Theory and Algorithms 445(46)
Jose C. Principe, Yadunandana N. Rao, and Deniz Erdogmus
Index 491

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The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

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