Fundamentals of Adaptive Filtering [Hardcover]

"...a remarkably clear, accessible, and up-to-date text. It is highly recommended for students at the graduate level…is an invaluable and comprehensive reference…for researchers at all levels." (IEEE Control Systems Magazine, August 2005)

This book is based on a graduate level course offered by the author at UCLA and has been classed tested there and at other universities over a number of years. This will be the most comprehensive book on the market today providing instructors a wide choice in designing their courses.
* Offers computer problems to illustrate real life applications for students and professionals alike
* An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

Text offers a systematic treatment of adaptive filtering. Illustrates commonalities that exist among different classes of adaptive algorithms and among different filtering theories. For graduate-level courses on adaptive filtering. Includes a variety of practical computer projects, appendices, and chapter concepts.

The most comprehensive treatment of adaptive filtering available

Here is a fresh, broad, and systematic treatment of adaptive filtering, a subject of immense practical and theoretical value. The author illustrates extensive commonalities that exist among different classes of adaptive algorithms and even among different filtering theories. He also provides a uniform treatment of the subject matter, addressing some existing limitations, providing additional insights, and detailing extensions of current theory.

The book is designed to be self-contained, with careful attention given to appendices, problems, examples, and a variety of practical computer projects. The bibliography is up-to-date with extensive commentaries on how the contributions relate to each other in time and in context.

Each chapter includes concepts that reinforce the principles covered, bibliographic notes for further study, numerous problems that vary in difficulty and applications, computer projects that illustrate real-life applications, and helpful appendices.

MATLAB® programs that solve all projects are available for download by all readers from the publisher’s Web site at ftp://ftp.wiley.com/public/sci_tech_med/filtering. The computer projects feature topics such as linear and decision-feedback equalization, channel estimation, beamforming, tracking of fading channels, line and acoustic echo cancellation, active noise control, OFDM receivers, CDMA receivers, and even finite-precision effects.

A complete solutions manual for all problems in the book is available to instructors upon request.

To gain insight into this vast and fast-moving field, you need a resource that is logically organized, specific in its presentation of each topic, and far-reaching in scope. Fundamentals of Adaptive Filtering is just that kind of resource.

ALI H. SAYED, PhD, is a professor of electrical engineering at UCLA, where he established and directs the Adaptive Systems Laboratory. He is a Fellow of the IEEE for his contributions to adaptive filtering and estimation algorithms.