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Adaptive Filters Theory and Applications
  

Adaptive Filters Theory and Applications [Paperback]

B. Farhang-Boroujeny
5.0 out of 5 stars  See all reviews (4 customer reviews)
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Adaptive filtering is an advanced and growing field in signal processing. A filter is a transmission network used in electronic circuits for the selective enhancement or reduction of specified components of an input signal. Filtering is achieved by selectively attenuating those components of the input signal which are undesired, relative to those which it is desired to enhance. This comprehensive book is both a valuable student resource and a useful technical reference for signal processing engineers in industry. The author is experienced in teaching graduates and practicing engineers and the text offers good theoretical coverage complemented by plenty of application examples.

From the Back Cover

This enlightened engineering approach to the study of adaptive filters employs MATLAB? computer simulations to clarify theoretical results. A highly accessible text, Adaptive Filters elucidates the concept of convergence and provides many application examples. The comprehensive coverage includes the theory of Wiener filters, eigenanalysis, the complete family of LMS-based algorithms, recursive least-squares and a new treatment of tracking. Features include:
  • Accompanying diskette containing the MATLAB programs used throughout the book and providing an insight into adaptive filtering concepts
  • End-of-chapter exercises designed to extend results developed in the text and to sharpen the reader?s skill in theoretical development
  • MATLAB-based simulation problems which will enhance understanding of the behaviour of different adaptive algorithms
  • Thorough treatment of transform domain, frequency domain and subband adaptive filters
  • Section on eigenanalysis presenting the essential mathematics for the study of filters
A valuable student resource and an essential technical reference for signal processing engineers in industry, Adaptive Filters presents a broad subject overview with emphasis on new developments and popular applications. --This text refers to the Hardcover edition.

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Average Customer Review
5.0 out of 5 stars (4 customer reviews)
 
 
 
 
Most helpful customer reviews

5.0 out of 5 stars Excellent!, Sep 21 2001
By 
"mk75" (Stanford, CA USA) - See all my reviews
This book is one of the best books on the subject! The writing style is as clear as Widrow's "Adaptive Signal Processing" and it has as much detail as Haykin's "Adaptive Filter Theory". In short, if you have to get ONE book on the subject, this is the book to get. Perfect for either studying on your own or learning in a classroom setting, and relevant to both researchers and practicing engineers.
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5.0 out of 5 stars Superb Book, Jan 27 2001
By A Customer
Farhang-Borjeny does a superb job explaining complex topics in a very straightforward fashion.
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5.0 out of 5 stars Teaching Adaptive Filters Made Easy, Mar 27 2000
By 
Dr. Saeed Gazor (Queen's University, Canada) - See all my reviews
As a course instructor, I found adaptive filters a very helpful book for teaching. It is also an easy to read book, as a self-study. Having used the previous books in the market, I found this a lot easier to teach. My students seem to understand much better. The very nicely designed end of the chapter problems are very helpful in enhancing the students understanding of the basic concepts. Farhang-Boroujeny has a very special view towards the fundamental concept of convergence; the significance of the power spectrum of filter input on convergence behavior. He starts injecting this concept right from the chapter on Wiener filters and carry this through out the book. Chapters 6 and 12, giving the basic concepts of LMS and least squares, are really nice and very instructive. Chapter 7 is very enlightening in understanding the basic concepts of the convergence and its relationship with the power spectrum of filter input. Chapter 8 has made the difficult topic of frequency domain adaptive filters very easy to follow. It also contains some unpublished work which I found very interesting. Other chapters also bring to the attention new views of adaptive filters. I am sure that the students and new researchers enjoy this book and will learn all important concepts of the adaptive systems and filters from this very well written book.

Congratulations to Dr. B Farhang-Boroujeny!

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