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Statistical Digital Signal Processing & Modeling

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The main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal processing such as Wiener filters, power spectrum estimation, signal modeling and adaptive filtering. Scores of worked examples illustrate fine points, compare techniques and algorithms and facilitate comprehension of fundamental concepts. Also features an abundance of interesting and challenging problems at the end of every chapter.

Mass Market Paperback

First published March 1, 1996

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About the author

Monson H. Hayes

5 books2 followers
Professor and Chair, Department of Electrical and Computer Engineering, George Mason University

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