Adaptive Filtering: Algorithms and Practical Implementation Hardcover - 2012
by Paulo S. Diniz
From the rear cover
In the fourth edition of Adaptive Filtering: Algorithms and Practical Implementation, author Paulo S.R. Diniz 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 unified 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 covered concepts. Many examples address problems drawn from actual applications. New material to this edition includes:
- Analytical and simulation examples in Chapters 4, 5, 6 and 10
- Appendix E, which summarizes the analysis of set-membership algorithm
- Updated problems and references
Providing a concise background on adaptive filtering, this book covers the family of LMS, affine projection, RLS and data-selective set-membership algorithms as well as nonlinear, 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 algorithms in a quick manner. Additionally, the book provides easy access to working algorithms for practicing engineers.
Details
- Title Adaptive Filtering: Algorithms and Practical Implementation
- Author Paulo S. Diniz
- Binding Hardcover
- Edition 4th ed. 2013
- Pages 652
- Volumes 1
- Language ENG
- Publisher Springer
- Date 2012-08-14
- Illustrated Yes
- ISBN 9781461441052 / 1461441056
- Weight 2.47 lbs (1.12 kg)
- Dimensions 9.21 x 6.14 x 1.44 in (23.39 x 15.60 x 3.66 cm)
-
Themes
- Aspects (Academic): Science/Technology Aspects
- Library of Congress subjects Signal processing - Digital techniques, Adaptive signal processing
- Library of Congress Catalog Number 2012942860
- Dewey Decimal Code 621.3
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Adaptive Filtering: Algorithms and Practical Implementation
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