Principles Of Adaptive Filters And Self Learning Systems

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Principles of Adaptive Filters and Self-learning Systems

Principles of Adaptive Filters and Self-learning Systems
Author :
Publisher : Springer Science & Business Media
Total Pages : 412
Release :
ISBN-10 : 1852339845
ISBN-13 : 9781852339845
Rating : 4/5 (845 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 2005-04-25 with total page 412 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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