
Adaptive Filtering
Algorithms and Practical Implementation
Paulo S. R. Diniz(Author)
Springer (Publisher)
3rd Edition
Published on 29. October 2010
Book
Paperback/Softback
XXIV, 627 pages
978-1-4419-4062-9 (ISBN)
Article exhausted; check for reprint
Description
The field of Digital Signal Processing has developed so fast in the last three decades that it can be found in the graduate and undergraduate programs of most universities. This development is related to the increasingly available technologies for implementing digital signal processing algorithms. The tremendous growth of development in the digital signal processing area has turned some of its specialized areas into fields themselves. If accurate information of the signals to be processed is available, the designer call easily choose the most appropriate algorithm to process the signal. When dealing with signals whose statistical properties are unknown, fixed algorithms do not process these signals efficiently. The solution is to use an adaptive filter that automatically changes its characteristics by optimizing the internal parameters. The adaptive filtering algorithms are essential in many statistical signal processing applications. Although the field of adaptive signal processing has been subject of research for over four decades, it was in the eighties that a major growth occurred in research and applications. Two main reasons can be credited to this growth, the availability of implementation tools and the appearance of early textbooks exposing the subject in an organized manner. Still today it is possible to observe many research developments in the area of adaptive filtering, particularly addressing specific applications.
Reviews / Votes
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)More details
Edition
Softcover reprint of hardcover 3rd ed. 2008
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Graduate
Product notice
Paperback (trade)
Illustrations
30 s/w Abbildungen, 25 s/w Tabellen
1, black & white illustrations
Dimensions
Height: 25.4 cm
Width: 17.8 cm
Thickness: 33 mm
Weight
1336 gr
ISBN-13
978-1-4419-4062-9 (9781441940629)
DOI
10.1007/978-0-387-68606-6
Schweitzer Classification
Other editions
New editions

Book
12/2019
5th Edition
Springer
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Additional editions

Book
07/2008
3rd Edition
Springer
€86.62
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E-Book
05/2008
3rd Edition
Springer
€84.99
Available for download
Content
To Adaptive Filtering.- Fundamentals of Adaptive Filtering.- The Least-Mean-Square (LMS) Algorithm.- Lms-Based Algorithms.- Conventional Rls Adaptive Filter.- Data-Selective Adaptive Filtering.- Adaptive Lattice-Based Rls Algorithms.- Fast Transversal Rls Algorithms.- Qr-Decomposition-Based Rls Filters.- Adaptive Iir Filters.- Nonlinear Adaptive Filtering.- Subband Adaptive Filters.- Blind Adaptive Filtering.