Product Description

Adaptive Filtering: Algorithms and Practical Implementation, Second Edition, 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 undergraduate 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 second edition contains a substantial amount of new material: + Two new chapters on nonlinear and subband adaptive filtering; + Linearly constrained Weiner filters and LMS algorithms; + LMS algorithm behavior in fast adaptation; + Affine projection algorithms; + Derivation smoothing; + MATLAB codes for algorithms. An instructor's manual, a set of master transparencies, and the MATLAB codes for all of the algorithms described in the text are also available. Useful to both professional researchers and students, the text includes 185 problems; over 38 examples, and over 130 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.

Product Details

• Amazon Sales Rank: #1264239 in Books
• Published on: 2002-07-31
• Original language: English
• Number of items: 1
• Binding: Hardcover
• 592 pages

Customer Reviews

An excellent book
The book by Prof. Diniz is indeed amongst the best on adaptive signal processing. Most of the fundamental concepts are well explained, suitable examples are given and practical applications are also discussed. The chapter on adaptive IIR filters is unique and still cannot be found in any other book. Moreover, solutions to the problems can be obtained by ftp, which is something very useful for students. Despite this is an excellent book (5 star), the price is ridiculous, as occurs with most titles from this publisher. If I were Prof. Diniz I would change from Kluwer Academic Publishers to a more competitive publisher.

A great book that describes the theory in a concise way.
Dr. Paulo Diniz has a unique view of the Adaptive Filtering field, due to years of extensive teaching experience. His book on Adaptive Filtering is a complete reference to the field, describing the theory in a concise way. The book develops the most important results in the field in less than 500 pages, including one chapter on IIR Adaptive Filtering - something that Haykin cannot beat.

The book is appealing to anyone who is interested in Adaptive Filtering and needs an extremely complete and concise reference. Highly recommended.