Overview

This book presents the basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner, using clear notations that facilitate actual implementation. Important algorithms are described in detailed tables which allow the reader to verify learned concepts. The book covers the family of LMS and algorithms as well as set-membership, sub-band, blind, IIR adaptive filtering, and more. The book is also supported by a web page maintained by the author.

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9781441940629

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From the reviews of the third edition: This text concentrates on studying on-line algorithms, those whose adaptation occurs whenever a new sample of each environment signal is available. ! This edition also includes basic introductions to nonlinear adaptive filtering and blind signal processing as natural extensions of the algorithms ! . The book is of great importance for digital signal processing undergraduate and graduate courses in universities. (George S. Stavrakakis, Zentralblatt MATH, Vol. 1155, 2009) The book titled 'Adaptive Filtering: Algorithms and Practical Implementation,' Third Edition, by Paulo S. R. Diniz replaces two previous editions. This new edition has improved significantly upon those two editions. ! The book is also very practical. To attest to its suitability as a teaching text, the author has given a number of carefully developed examples which are useful ! to students. ! Overall, the book is excellent for teaching the subject of adaptive signal processing and enhances the landscape of textbooks on the subject. (Tokunbo Ogunfunmi, IEEE Communications Magazine, October, 2009)

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