Adaptive Filter Theory
Adaptive Filter Theory
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Summary
Examines both the mathematical theory behind various linear adaptive filters with finite-duration impulse response (FIR), and the elements of supervised neural networks. For use on undergraduate courses in adaptive signal processing, this edition has been updated and refined.
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Adaptive Filter Theory by Ss Haykin
Haykin examines both the mathematical theory behind various linear adaptive filters with finite-duration impulse response (FIR) and the elements of supervised neural networks. This edition has been updated and refined to keep current with the field and develop concepts in as unified and accessible a manner as possible. It: introduces a completely new chapter on Frequency-Domain Adaptive Filters; adds a chapter on Tracking Time-Varying Systems; adds two chapters on Neural Networks; enhances material on RLS algorithms; strengthens linkages to Kalman filter theory to gain a more unified treatment of the standard, square-root and order-recursive forms; and includes new computer experiments using MATLAB software that illustrate the underlying theory and applications of the LMS and RLS algorithms.| SKU | Unavailable |
| ISBN 13 | 9780133227604 |
| ISBN 10 | 013322760X |
| Title | Adaptive Filter Theory |
| Author | Ss Haykin |
| Condition | Unavailable |
| Publisher | Pearson Education (US) |
| Year published | 1995-12-27 |
| Number of pages | 752 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |