Principles of Adaptive Filters and Self-learning Systems
| Author | : Anthony Zaknich |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 412 |
| Release | : 2005-04-25 |
| 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
