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Principles of Adaptive Filters and Self-learning Systems - Advanced Textbooks in Control and Signal Processing Anthony Zaknich 2005 edition
Principles of Adaptive Filters and Self-learning Systems - Advanced Textbooks in Control and Signal Processing
Anthony Zaknich
How can a signal be processed for which there are few or no a priori data? This text covers Kalman and Wiener filters, neural networks, genetic algorithms and fuzzy logic systems together in a unified treatment. It is useful for one-semester introductory graduate or senior undergraduate courses.
410 pages, 95 black & white illustrations, 5 black & white tables, biography
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2005. gada 25. aprīlis |
| ISBN13 | 9781852339845 |
| Izdevēji | Springer London Ltd |
| Lapas | 386 |
| Izmēri | 233 × 155 × 23 mm · 616 g |
| Valoda | Angļu |