Paulo Sergio Ramirez Diniz, "Adaptive Filtering: Algorithms and Practical Implementation, 4th edition"
2013 | ISBN-10: 1461441056 | PDF | 673 pages | 11,4 MB
2013 | ISBN-10: 1461441056 | PDF | 673 pages | 11,4 MB
Book Description :
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. 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.
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