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Adaptive Filtering: Algorithms and Practical Implementation, (The Springer International Series in Engineering and Computer Science), by P
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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.
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.
- Sales Rank: #4771128 in Books
- Brand: Brand: Springer
- Published on: 2002-07-31
- Original language: English
- Number of items: 1
- Dimensions: 9.50" h x 6.25" w x 1.25" l, 2.12 pounds
- Binding: Hardcover
- 592 pages
- Used Book in Good Condition
Most helpful customer reviews
2 of 3 people found the following review helpful.
Greatly Recommended
By Amazon Customer
This book is greatly recommended for students, researchers and also professors. A very complete and clear view of adaptive filtering.
0 of 0 people found the following review helpful.
A sound reference
By Amazon Customer
The book has a modern approach for adaptive filtering which make it more readable than some classic references. Due to my academic formation (I have a degree in computing science), it is much more palatable than Haykin's book (which is surely a classic). Also, it has a particularly useful chapter on IIR adaptive filtering, which makes this book unique (for example, Sayed's book is a great reference, but doesn't mention IIR filters). This book surely worth a read!
6 of 6 people found the following review helpful.
An excellent book
By Rodrigo de Lamare
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.
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