Adaptive Filters allows 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 available to all readers. Additional features include:
-
Numerous tables, figures, and projects
-
Special focus on geometric constructions, physical intuition, linear-algebraic concepts, and vector notation
-
Background material on random variables, linear algebra, and complex gradients collected in three introductory chapters
-
Complete solutions manual available for instructors
-
MATLAB® solutions available for all computer projects
Adaptive Filters offers a fresh, focused look at the subject in a manner that will entice students, challenge experts, and appeal to practitioners and instructors.
About the Author
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.