Principles of Adaptive Filters and Self-learning Systems (Repost)
Principles of Adaptive Filters and Self-learning Systems By Anthony Zaknich
2005 | 408 Pages | ISBN: 1852339845 | PDF | 3 MB
2005 | 408 Pages | ISBN: 1852339845 | PDF | 3 MB
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.
Principles of Adaptive Filters and Self-learning Systems (Repost)
