MATLAB files to implement all Adaptive Filtering Algorithms in the book by Paulo S. R. Diniz,Adaptive Filtering Algorithms and Practical Implementation, Third Edition, Springer, New York, 2008
This book presents a concise overview of adaptive filtering, covering as many algorithms as possible in a unified form that avoids repetition and simplifies notation. It is suitable as a textbook for senior undergraduated or first-year graduate courses in adaptive signal processing and adaptive filters.
The philosophy of the presentation is to expose the material with a solid theoretical foundation, to concentrate on algorithms that really work in a finite-precision implementation, and to provide easy access to working algorithms. Hence, practicing engineers and scientists will also find the book to be an excellent reference.
This third edition contains a substantial amount of new material: Two new chapters on data-selective and blind signal processing. It also contains an enlarged discussion of linear-constrained Wiener filters and LMS algorithms, and affine projection algorithms. MATLAB codes for are available for all algorithms.
An instructor`s manual, a set of master transparences, and MATLAB codes for all of the algorithms described in the text are also available. Useful to both professional researchers and students, the text includes hundreds of problems, numerous examples, and over 150 illustrations. It is of primary interest to those working in signal processing, communications, and circuits and systems.
It will also be of interest to those working in power systems,networks, learning systems, and intelligent systems.
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