Principles of Adaptive Filters and Self-learning Systems

Principles of Adaptive Filters and Self-learning Systems
Author :
Publisher : Springer Science & Business Media
Total Pages : 397
Release :
ISBN-10 : 9781846281211
ISBN-13 : 1846281210
Rating : 4/5 (11 Downloads)

Book Synopsis Principles of Adaptive Filters and Self-learning Systems by : Anthony Zaknich

Download or read book Principles of Adaptive Filters and Self-learning Systems written by Anthony Zaknich and published by Springer Science & Business Media. This book was released on 2005-08-19 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teaches students about classical and nonclassical adaptive systems within one pair of covers Helps tutors with time-saving course plans, ready-made practical assignments and examination guidance The recently developed "practical sub-space adaptive filter" allows the reader to combine any set of classical and/or non-classical adaptive systems to form a powerful technology for solving complex nonlinear problems


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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.