Principles of Adaptive Filters and Self-learning Systems
Author | : Anthony Zaknich |
Publisher | : Springer Science & Business Media |
Total Pages | : 397 |
Release | : 2005-08-19 |
ISBN-10 | : 9781846281211 |
ISBN-13 | : 1846281210 |
Rating | : 4/5 (210 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