2013 Adaptive Filtering: Algorithms and Practical Implementation, 4th

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Adaptive Filtering: Algorithms and Practical Implementation, 4th edition by Paulo Sergio Ramirez Diniz
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673 pages
2013
. J' z, M! m; h% C/ J# CEnglish
' w# c8 o5 ?8 k& L0 FISBN: 1461441056
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- b9 i% [$ i" _* l% p! c+ {' W6 SIn 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.
! j9 i1 @/ G8 l( Z% C6 Z2 Y1 xMany 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.
- q/ y7 k, g/ m& @) g) j  j8 ^Adaptive Filtering Algorithms and Practical Implementation, 4th edition

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