|
EDA365欢迎您登录!
您需要 登录 才可以下载或查看,没有帐号?注册
x
Adaptive Filtering: Algorithms and Practical Implementation, 4th edition by Paulo Sergio Ramirez Diniz* z9 x2 Z, w9 S% D2 z2 H3 p& t
8 ]: k9 D% r. E/ c1 S, _673 pages
; m/ F+ I7 i& e( K& e2013
/ L/ E; y! s' H# n2 @English! p9 |% @* r" ]0 s* p
ISBN: 1461441056
; W+ v' t- ]4 ]5 k: F' t( f" ]1 u1 Y& z3 y) N9 P7 y" j4 n
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.
9 c; j8 U U' C0 k! Y$ B$ f$ EMany 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.
: ?0 [# R, K: J9 n) \; lAdaptive Filtering Algorithms and Practical Implementation, 4th edition |
|