From elininating outside interference to separate data stream traveling together, filters are used for a range of applications in communications. The Least Mean Square (LMS) filter has established itself as the workhorse for the design of linear adaptive systems. This book deals with this topic. Editor(s): Haykin, S.S.; Widrow, Bernard. Series: Adaptive and Learning Systems for Signal Processing, Communications and Control Series. Num Pages: 512 pages, Illustrations. BIC Classification: PBW; TBD; TJFC. Category: (P) Professional & Vocational. Dimension: 239 x 162 x 27. Weight in Grams: 823. . 2003. 1st Edition. Hardcover. . . . .

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Bibliographic Details

Title: Least-Mean-Square Adaptive Filters
Publisher: John Wiley and Sons Ltd
Publication Date: 2003
Language: English
ISBN 10: 0471215708
ISBN 13: 9780471215707
Binding: Hardcover
Edition: 1st Edition
Condition: New

About this title

Synopsis

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.

About 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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