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Adaptive Filtering: Algorithms and Practical Implementation, 4th edition by Paulo Sergio Ramirez Diniz
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- I' U" o' b/ @! C/ f673 pages
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8 [- b" y$ M6 }, W7 g2 s6 VEnglish
; j) @* ^2 y4 y0 L8 D: IISBN: 1461441056 , s+ b2 Q4 V- ]6 q& L. n- i* Z
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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. 8 C- Y, P4 N7 Y% U0 P
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.. a0 U( ^ \8 l. N
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发表于 2016-11-15 15:31