Least-Mean-Square Adaptive Filters / Edition 1

Least-Mean-Square Adaptive Filters / Edition 1

by Simon Haykin
     
 

ISBN-10: 0471215708

ISBN-13: 9780471215707

Pub. Date: 09/08/2003

Publisher: Wiley

  • 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.

Overview

  • 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.

Product Details

ISBN-13:
9780471215707
Publisher:
Wiley
Publication date:
09/08/2003
Series:
Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control Series, #31
Pages:
512
Product dimensions:
6.40(w) x 9.41(h) x 1.10(d)

Related Subjects

Table of Contents

Contributors.

Introduction (Simon Haykin).

1. On the Efficiency of Adaptive Algorithms (Berrnard Widrow and Max Kamenetsky).

2. Travelling-Wave Model of Long LMS Filters (Hans Butterweck).

3. Energy Conservation and the Learning Ability of LMS Adaptive Filters (Ali Sayed & Vitor H. Nascimento).

4. On the Robustness of LMS Filters (Babak Hassibi).

5. Dimension Analysis for Least-Mean-Square Algorithms (Iven M.Y. Mareels, et al.).

6. Control of LMS-Type Adaptive Filters (Eberhard Haensler and Gerhard Uwe Schmidt).

7. Affine Projection Algorithms (Steve Gay).

8. Proportionate Adaptation: New Paradigms in Adaptive Filters (Zhe Chen, et al.).

9. Steady-State Dynamic Weight Behavior in (N)LMS Adaptive Filters (A.A. (Louis) Beex and James R. Zeidler).

10. Error Whitening Wiener Filters: Theory and Algorithms (Jose Principe, et al.).

Index.

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