Adaptive Filtering: Algorithms and Practical Implementation - ISBN:0387312749

Adaptive Filtering: Algorithms and Practical Implementation

Date: 27 April 2011, 09:04

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Review
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)
Product Description
This book presents the basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner. The main classes of adaptive filtering algorithms are presented in a unifed framework using clear notations that facilitate actual implementation. The main algorithms are described in tables which are detailed enough to allow the reader to verify the learned concepts. Many examples address problems drawn from actual applications. This book covers the family of LMS and algorithms as well as set-membership, sub-band, blind, IIR adaptive filtering, and more. Several problems are included at the end of chapters and some of these problems address applications. A user-friendly MATLAB package is provided where the reader can easily solve new problems and test all of the algorithms in a fast manner. Additionally, the book provides easy access to working algorithms for practicing engineers.
The book has a solutions manual that is available from the publisher for instructors. Another resource for instructors is a set of master transparencies as a MATLAB Package including the MATLAB codes for all the algorithms described in the text which is available from the author. The author also has a webpage for the book.

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