Adaptive Filtering: Algorithms and Practical Implementation [Hardcover]

Paulo S. R. Diniz (Author)

Book Description

ISBN-10: 0387312749 | ISBN-13: 978-0387312743 | Publication Date: July 2, 2008 | Edition: 3rd

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.

Editorial Reviews

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)

From the Back Cover

Adaptive Filtering: Algorithms and Practical Implementation, Third Edition, presents basic concepts of adaptive signal processing and filtering in a concise and straightforward manner. It concentrates on on-line algorithms whose adaptation occurs whenever a new sample of each environment signal is available. The material also illustrates block algorithms using a sub-band filtering framework whose adaptation occurs when a new block of data is available. Highlights of the new edition include: Expanded treatment of complex algorithms throughout the book New chapters on Data-Selective and Blind Adaptive Filtering An enlarged discussion of linear-constrained Wiener filters Detailed analysis of the affine projection algorithm Updated derivations and many new examples A primer on Kalman filtering in Appendix D as a complement to RLS algorithms. Algorithms are presented in a unified framework using a consistent notation that facilitates their actual implementation. The main algorithms are summarized and described in tables. Many examples address problems drawn from actual applications. The family of LMS and RLS algorithms as well as set-membership, sub-band, blind, nonlinear and IIR adaptive filtering, are covered. Problems are included at the end of chapters. Adaptive Filtering: Algorithms and Practical Implementation, Third Edition, is intended for advanced undergraduate and graduate students studying adaptive filtering and will also serve as an up-to-date and useful reference for professional engineers working in the field.

Product Details

• Hardcover: 656 pages
• Publisher: Springer; 3rd edition (July 2, 2008)
• Language: English
• ISBN-10: 0387312749
• ISBN-13: 978-0387312743
• Product Dimensions: 10.3 x 7.3 x 1.7 inches
• Shipping Weight: 2.8 pounds (View shipping rates and policies)
• Average Customer Review: 5.0 out of 5 stars  See all reviews (4 customer reviews)
• Amazon Best Sellers Rank: #1,697,692 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

6 of 6 people found the following review helpful:

5.0 out of 5 stars An excellent book, December 9, 2001

By 

Rodrigo de Lamare (Rio de Janeiro, Rio de Janeiro Brazil) - See all my reviews

This review is from: Adaptive Filtering: Algorithms and Practical Implementation (The Springer International Series in Engineering and Computer Science) (Hardcover)

The book by Prof. Diniz is indeed amongst the best on adaptive signal processing. Most of the fundamental concepts are well explained, suitable examples are given and practical applications are also discussed. The chapter on adaptive IIR filters is unique and still cannot be found in any other book. Moreover, solutions to the problems can be obtained by ftp, which is something very useful for students. Despite this is an excellent book (5 star), the price is ridiculous, as occurs with most titles from this publisher. If I were Prof. Diniz I would change from Kluwer Academic Publishers to a more competitive publisher.

10 of 13 people found the following review helpful:

5.0 out of 5 stars A great book that describes the theory in a concise way., June 7, 1999

By 

[e-mail] (Los Angeles) - See all my reviews

This review is from: Adaptive Filtering: Algorithms and Practical Implementation (The Springer International Series in Engineering and Computer Science) (Hardcover)

Dr. Paulo Diniz has a unique view of the Adaptive Filtering field, due to years of extensive teaching experience. His book on Adaptive Filtering is a complete reference to the field, describing the theory in a concise way. The book develops the most important results in the field in less than 500 pages, including one chapter on IIR Adaptive Filtering - something that Haykin cannot beat.

The book is appealing to anyone who is interested in Adaptive Filtering and needs an extremely complete and concise reference. Highly recommended.

1 of 1 people found the following review helpful:

5.0 out of 5 stars Greatly Recommended, January 27, 2010

By 

Eduardo Batista "engineering professor" (Florianopolis, Brazil) - See all my reviews
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This review is from: Adaptive Filtering: Algorithms and Practical Implementation (Hardcover)

This book is greatly recommended for students, researchers and also professors. A very complete and clear view of adaptive filtering.