Least-Mean-Square Adaptive Filters / Edition 1

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  • 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.
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Editorial Reviews

From the Publisher
"...strongly recommended for researchers working in the field of signal processing and its applications." (IEEE Circuits & Devices, January/February 2006)
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Product Details

Meet the Author

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

BERNARD WIDROW, PhD, is Professor for Adaptive Systems at Stanford University.

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Table of Contents


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.).


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