In the fourth edition of "Adaptive Filtering: Algorithms and
Practical Implementation," author Paulo S.R. Dinizpresents 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
Providinga 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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