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
* 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.

Product Details

• Amazon Sales Rank: #335421 in Books
• Published on: 2003-05-30
• Original language: English
• Binding: Hardcover
• 1168 pages

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)

Book Info
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.

From the Back Cover
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.

Customer Reviews

Excellent
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.

Just what I needed
I work on 802.11b and 802.11a/OFDM modems and was looking for some kind of coherent text on decision feedback equalization and other tracking schemes when I stumbled upon this book. I'm deep into chapter three and I can already draw the following conclusions.

There are two things that make this book really great.
1) The teaching style. Besides having a wonderful way with words, the author uses plenty of subtle teaching principles that help in the understanding of the material like frequent repetition of the main concepts and slowly building up examples over different sections inside each chapter.

2) Content !!!! Its hard to assimilate abstract material like estimation theory without at the end having some type of useful application or algorithm to show for. The author's examples and computer projects on channel estimation, channel equalization, maximum ratio combining and Rake receivers are very popular building blocks for a variety of modems. It is very motivating to know that after labouring through the chapter the authors feels that you are now ready to understand decision feedback equalizers and so he presents you with a nice DFE computer project.

Difficult topics require competent teaching approaches and that is exactly what you will find in this book.

The only thing that would make this book even better would be a very brief introductory chapter on statistics and linear algebra. So if you are going through the book and you want to quickly revisit the definition of covariance or hermetian transpose there is one centralized section that has all the useful mathematical tools nicely listed.

As a practising engineer, I highly recommend this book.
Andreas S.

A True Masterpiece
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.