Fundamentals of Adaptive Filtering (Hardcover)

~ (Author) "In this first chapter we focus on the basic, yet fundamental, problem of estimating an unobservable quantity from a collection of measurements in the least-mean-squares..." (more)
Key Phrases: block adaptive filters, lower triangularizes, subband adaptive filters, Bibliographic Notes, Summary of Main Results, Step-size Figure (more...)

Editorial Reviews

Review

"...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)

Product Description

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
* There will be an Instructor's Manual presenting detailed solutions to all the problems in the book

See all Editorial Reviews

Product Details

• Hardcover: 1168 pages
• Publisher: Wiley-IEEE Press (June 13, 2003)
• Language: English
• ISBN-10: 0471461261
• ISBN-13: 978-0471461265
• Product Dimensions: 10.1 x 7.9 x 2.4 inches
• Shipping Weight: 4.9 pounds (View shipping rates and policies)
• Average Customer Review: 5.0 out of 5 stars  See all reviews (8 customer reviews)
• Amazon.com Sales Rank: #489,083 in Books (See Bestsellers in Books)

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  #6 in	Books > Professional & Technical > Engineering > Electrical & Electronics > Filters
  #57 in	Books > Professional & Technical > Engineering > Electrical & Electronics > Electronics > Apparatus, Devices & Design
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Customer Reviews

Most Helpful Customer Reviews

11 of 11 people found the following review helpful:

5.0 out of 5 stars Excellent, March 24, 2004

By A Customer

This is the best textbook I've ever read. The mix of theory and practice, examples and math, and the ordered introduction of concepts flows so well it reads like a treasure quest. Everything has its place, and the place is known - you just have to follow the signs and keep an eye out for those which are subtler than others, just to keep things alive and interesting. It's indicative of the clarity of thinking and broad sweep of this work that you would refer to it (I do and other students I know as well), for other subject matter such as communications, linear algebra, digital filters, probability and control theory. The homework problems are not just a series of one-liners as in most graduate level text books, but well-marked road maps addressing points discussed in the text and opening up new possibilities. The computer projects are very well commented and the results analysed. The language is concise yet fluid, and there are extremely few typos of any kind. This is a very, very high quality work.

11 of 12 people found the following review helpful:

5.0 out of 5 stars A good book., October 1, 2003

By	Sreenivas K "SriniK" (Potomac, MD) - See all my reviews

For all those of us, working in beamforming or OFDM or equalization or noise control, who find Haykin's writing uninspiring, Sayed's work has all the elegance of Prof Kailath's pedagogical style. This is one scrumptious intellectual meal. Every extant variation of the LMS and RLS algorithms is detailed, and some histroical context provided. The mathematical background needed or assumed is rudimentary. The Matlab projects are extensive in scope - yet, like most Matlab sources, they will take work in understanding their nuances.

9 of 10 people found the following review helpful:

5.0 out of 5 stars A True Masterpiece, October 6, 2003

By	Ghassan Maalouli (Scottsdale, AZ United States) - See all my reviews (REAL NAME)

This book is a true masterpiece. It contains the most complete treatment, theoretical and practical, of adaptive filtering that I've ever seen and I've seen just about every book on this topic on the market. In addition to the detialed theoretical derivations, this book is rich with numerous design examples and computer projects with provided matlab code. This equips the reader with proper tools to quickly understand the concepts and put them to practice with relative ease. I highly recommend this book to anyone serious about understanding adaptive filters.