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Fundamentals of Adaptive Filtering
Sayed
€ 255.66
FREE Delivery in Ireland
Description for Fundamentals of Adaptive Filtering
Hardcover. 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. Num Pages: 1168 pages, Illustrations. BIC Classification: TJFC. Category: (P) Professional & Vocational. Dimension: 266 x 211 x 56. Weight in Grams: 2084.
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.
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 ... Read more
Show LessProduct Details
Format
Hardback
Publication date
2003
Publisher
John Wiley & Sons Inc United States
Number of pages
1168
Condition
New
Number of Pages
1168
Place of Publication
, United States
ISBN
9780471461265
SKU
V9780471461265
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About Sayed
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.
Reviews for Fundamentals of Adaptive Filtering
"...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)