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Adaptive Filtering: Algorithms and Practical Implementation, 4th edition by Paulo Sergio Ramirez Diniz+ D; c# f& E1 u! ^- j! z, L( A) y
/ X: R4 r) n# @ Y0 m673 pages
4 E" o; d3 O6 r1 j, ^% i! e2 z2013 ! E" N# p4 b) o" H
English; m+ o. I# I0 y5 M _ P
ISBN: 1461441056
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1 q. }$ l# I4 wIn 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.
8 i" l' K4 U0 Y- I n# _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.
9 g9 {4 M9 T B6 P' bAdaptive Filtering Algorithms and Practical Implementation, 4th edition |
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