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Adaptive Filtering: Algorithms and Practical Implementation, 4th edition by Paulo Sergio Ramirez Diniz
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673 pages * x1 ~3 j. v. |( T
2013 8 o+ E3 d0 e- n% D2 c4 s" c
English0 p$ |( t' E( A5 c+ }6 m0 ^0 d
ISBN: 1461441056 8 M5 m* D/ G% F# n, r6 q" [7 o
8 Z) ^) q L2 ? L# } Q. DIn 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. " P. ]. m7 [5 ?" d' S! \" x
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.
( ~7 ]) K: q# KAdaptive Filtering Algorithms and Practical Implementation, 4th edition |
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