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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 biome
This second edition of Adaptive Filters: Theory and Applications has been updated throughout to reflect the latest developments in this field; notably an increa
Edited by the original inventor of the technology. Includes contributions by the foremost experts in the field. The only book to cover these topics together.
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.
Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for nonline