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Least-Mean-Square Adaptive Filters Book

Least-Mean-Square Adaptive Filters
Least-Mean-Square Adaptive Filters, <ul> <li>Edited by the original inventor of the technology.</li> <li>Includes contributions by the foremost experts in the field.</li> <li>The only book to cover these topics together.</li> </ul>, Least-Mean-Square Adaptive Filters has a rating of 5 stars
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Least-Mean-Square Adaptive Filters,
  • 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.
, Least-Mean-Square Adaptive Filters
5 out of 5 stars based on 2 reviews
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  • Least-Mean-Square Adaptive Filters
  • Written by author Simon Haykin
  • Published by Wiley, John & Sons, Incorporated, September 2003
  • 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.
  • The least-mean-square (LMS) algorithm represents the cornerstone for the design of adaptive transversal filters. Haykin (director, Adaptive Systems Laboratory, McMaster University), and Widrow (adaptive systems, Stanford University), one of the original i
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Book Categories

Authors

Contributors
Introduction: The LMS Filter (Algorithm)
1On the Efficiency of Adaptive Algorithms1
2Traveling-Wave Model of Long LMS Filters35
3Energy Conservation and the Learning Ability of LMS Adaptive Filters79
4On the Robustness of LMS Filters105
5Dimension Analysis for Least-Mean-Square Algorithms145
6Control of LMS-Type Adaptive Filters175
7Affine Projection Algorithms241
8Proportionate Adaptation: New Paradigms in Adaptive Filters293
9Steady-State Dynamic Weight Behavior in (N)LMS Adaptive Filters335
10Error Whitening Wiener Filters: Theory and Algorithms445
Index491

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