Adaptive Filtering

Algorithms and Practical Implementation

By:

Paulo S.R. Diniz

Format:

Hardback

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Description

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.

Release date NZ

August 14th, 2012

Author

Paulo S.R. Diniz

Audience

Professional & Vocational

Edition

4th ed. 2013

Illustrations

11 Illustrations, color; 188 Illustrations, black and white; XXI, 652 p. 199 illus., 11 illus. in color.

Pages

652

Dimensions

156x234x36

ISBN-13

9781461441052

Product ID

20673853

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