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Free eBook Adaptive Filtering: Algorithms and Practical Implementation download

by Paulo S. R. Diniz

Free eBook Adaptive Filtering: Algorithms and Practical Implementation download ISBN: 1441940626
Author: Paulo S. R. Diniz
Publisher: Springer; Softcover reprint of hardcover 3rd ed. 2008 edition (October 29, 2010)
Language: English
Pages: 656
Category: Engineering & Transportation
Subcategory: Engineering
Size MP3: 1435 mb
Size FLAC: 1419 mb
Rating: 4.9
Format: doc mbr lrf lit

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.

by Paulo S. R. Diniz (auth. We will show in this book that drawing the human body need not be so difficult. in interpretive point of view, it allo. Algorithms and Practical Implementation - TiERA.

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Springer Science & Business Media, 14 Mar 2013 - 568 sayfa. Hence, practicing engineers and scientists will also find the book to be an excellent reference.

The book is also very practical. To attest to its suitability as a teaching text, the author has given a number of carefully developed examples which are usefu. o students. Overall, the book is excellent for teaching the subject of adaptive signal processing and enhances the landscape of textbooks on the subject. Tokunbo Ogunfunmi, IEEE Communications Magazine,.

Автор: Diniz Paulo .

4. 6 MB. 2 years ago.

This book presents the basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner, using clear notations that facilitate actual implementation. Important algorithms are described in detailed tables which allow the reader to verify learned concepts. The book covers the family of LMS and algorithms as well as set-membership, sub-band, blind, IIR adaptive filtering, and more. The book is also supported by a web page maintained by the author.
User reviews
This book is greatly recommended for students, researchers and also professors. A very complete and clear view of adaptive filtering.
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.
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!
Excellent reference for those interested not only in learning the theory of adaptive filters, but also in putting into practice most of the relevant and up-to-date adaptive algorithms. It is worth pointing out the clear exposition of data-selective-based algorithms, thus constituting a distinct and valuable feature of this book as compared to other classical books about the topic.
Legend 33
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.