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Adaptive Filters
Ali H. Sayed
€ 191.07
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Description for Adaptive Filters
Hardcover. The textbook provides a comprehensive, thorough, and up-to-date treatment of adaptive Includes solved practical computer projects that illustrate how the material developed in the textbook can be used to solve problems of practical relevance. Num Pages: 824 pages, Illustrations. BIC Classification: TJFC; TJK. Category: (P) Professional & Vocational. Dimension: 257 x 209 x 51. Weight in Grams: 1874.
Adaptive filtering is a topic of immense practical and theoretical value, having applications in areas ranging from digital and wireless communications to biomedical systems. This book enables readers to gain a gradual and solid introduction to the subject, its applications to a variety of topical problems, existing limitations, and extensions of current theories. The book consists of eleven parts?each part containing a series of focused lectures and ending with bibliographic comments, problems, and computer projects with MATLAB solutions.
Adaptive filtering is a topic of immense practical and theoretical value, having applications in areas ranging from digital and wireless communications to biomedical systems. This book enables readers to gain a gradual and solid introduction to the subject, its applications to a variety of topical problems, existing limitations, and extensions of current theories. The book consists of eleven parts?each part containing a series of focused lectures and ending with bibliographic comments, problems, and computer projects with MATLAB solutions.
Product Details
Format
Hardback
Publication date
2008
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
824
Condition
New
Number of Pages
832
Place of Publication
, United States
ISBN
9780470253885
SKU
V9780470253885
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Ali H. Sayed
Ali H. Sayed is 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. His research has attracted several recognitions including the 2003 Kuwait Prize, 2005 Terman Award, and several IEEE Best Paper Awards.
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