Average Reviews:
(More customer 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 It also contains some unpublished work which I found very interesting.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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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 conceptsEnd-of-chapter exercises designed to extend results developed in the text and to sharpen the readers skill in theoretical developmentMATLAB-based simulation problems which will enhance understanding of the behaviour of different adaptive algorithmsThorough treatment of transform domain, frequency domain and subband adaptive filtersSection on eigenanalysis presenting the essential mathematics for the study of filtersA 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.
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