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Least-Mean-Square Adaptive Filters
Haykin
€ 198.32
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Description for Least-Mean-Square Adaptive Filters
Hardcover. 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.
- 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
Format
Hardback
Publication date
2003
Publisher
John Wiley and Sons Ltd United States
Number of pages
512
Condition
New
Series
Adaptive and Learning Systems for Signal Processing, Communications and Control Series
Number of Pages
512
Place of Publication
, United States
ISBN
9780471215707
SKU
V9780471215707
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Haykin
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.
Reviews for Least-Mean-Square Adaptive Filters
"...strongly recommended for researchers working in the field of signal processing and its applications." (IEEE Circuits & Devices, January/February 2006)