Adaptive Filter Theory
Simon Haykin
ISBN: 0130901261
For courses in Adaptive Filters. Haykin
examines both the mathematical theory behind various linear
adaptive filters with finite-duration impulse response (FIR) and
the elements of supervised neural networks. The Fourth Edition of
this highly successful book has been updated and refined to stay
current with the field and develop concepts in as unified and
accessible a manner as possible. *In-depth treatment of adaptive
filters in a highly readable and understandable fashion.
*Extensive use of illustrative examples. *Extensive use of MATLAB
experiments to illustrate the practical realities and intricacies
of adaptive filters, the codes for which can be downloaded from
the Web. *Extensive bibliography of the subject. *Revision
consolidates the material by focusing on adaptive filters
operating in the time domain. Improves the presentation of the
material on statistical LMS theory, RLS algorithm, and
introductory treatment of the unscented Kalman filtering
algorithm. *Major revision of the MATLAB codes for the computer
experiments. Available on the web. Website (http://soma.crl.mcmaster.ca/ASL)
includes a highly intensive research program on the applications
of adaptive filters and neural networks to signal processing and
communications with emphasis on: Space-time wireless
communications, Radar surveillance, and chaotic signal processing
