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Adaptive Filtering: Algorithms and Practical Implementation, 4th edition by Paulo Sergio Ramirez Diniz; L2 _' p- G+ t5 I$ L
5 f4 j& k. K6 z) j# m673 pages $ ]' q- O" r% u: O
2013
( m+ s% P1 x2 }' r( `English
^/ Z. g6 m2 P$ ~0 [ISBN: 1461441056
* b; L! N: G, h9 i) F8 D% ~ @. ]2 n/ u: Q
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.
- m- E" ]9 y( v3 R6 _; ~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.
( F6 J) t, `$ i$ s* _+ vAdaptive Filtering Algorithms and Practical Implementation, 4th edition |
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发表于 2016-11-15 15:31