Least-Mean-Square Adaptive Filters

hi_china59

Least-Mean-Square Adaptive Filters

English 2003

ISBN: 0471215708

512 pages

PDF  4.26 MB

A landmark text in LMS filter technology–– from the field’s leading authorities
In the field of electrical engineering and signal processing, few algorithms have proven as adaptable as the least-mean-square (LMS) algorithm. Devised by Bernard Widrow and M. Hoff, this simple yet effective algorithm now represents the cornerstone for the design of adaptive transversal (tapped-delay-line) filters.
Today, working efficiently with LMS adaptive filters not only involves understanding their fundamentals, it also means staying current with their many applications in practical systems. However, no single resource has presented an up-to-the-minute examination of these and all other essential aspects of LMS filters–until now.
Edited by Simon Haykin and Bernard Widrow, the original inventor of the technology, Least-Mean-Square Adaptive Filters offers the most definitive look at the LMS filter available anywhere. Here, readers will get a commanding perspective on the desirable properties that have made LMS filters the turnkey technology for adaptive signal processing. Just as importantly, Least-Mean-Square Adaptive Filters brings together the contributions of renowned experts whose insights reflect the state-of-the-art of the field today. In each chapter, the book presents the latest thinking on a wide range of vital, fast-emerging topics, including:

• Traveling-wave analysis of long LMS filters
• Energy conservation and the learning ability of LMS adaptive filters
• Robustness of LMS filters
• Dimension analysis for LMS filters
• Affine projection filters
• Proportionate adaptation
• Dynamic adaptation
• Error whitening Wiener filters

As the editors point out, there is no direct mathematical theory for the stability and steady-state performance of the LMS filter. But it is possible to chart its behavior in a stationary and nonstationary environment. Least-Mean-Square Adaptive Filters puts these defining characteristics into sharp focus, and–more than any other source–brings you up to speed on everything that the LMS filter has to offer.

About the AuthorSIMON 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.

xuleiwx

是多篇文章的集合。

smaa

這書我有紙本, 還不錯

richyrichy

It's better to have basic background in adaptive filter before reading this textbook.

student321

thanks

peterlin2010

   

Least-Mean-Square Adaptive Filters
English 2003
ISBN: 0471215708
512 pages
PDF  4.26 MB

A ...
hi_china59 发表于 2016-8-22 21:05

                               
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    thank you

auspiciouschen

zhucy07

Thanks

iaminbj

thanks for your great share !

efong

THANK FOR SHARING