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Least-Mean-Square Adaptive Filters: Haykin/Least-Mean-Square Adaptive Filters by Haykin, Simon (editor);Widrow, Bernard (editor) is a nonfiction available to read on EtoBox.

What is Least-Mean-Square Adaptive Filters: Haykin/Least-Mean-Square Adaptive Filters about?

<p>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 inventors of the algorithm, look at properties that have made LMS filters the turnkey technology for adaptive signal processing, and bring together contributors in communication technology, electrical engineering, and computational neuroengineering whose insights reflect the state of the art in the field. Annotation &copy;2003 Book News, Inc., Portland, OR</p>

Who reads Least-Mean-Square Adaptive Filters: Haykin/Least-Mean-Square Adaptive Filters?

Author

Haykin, Simon (editor);Widrow, Bernard (editor)

Publisher

John Wiley & Sons, Incorporated

Published

2003

Language

EN

ISBN

9780471461289

Category

nonfiction

Subjects

Engineering, Mathematics, Stem