Adaptive Filter Theory
S. Haykin

For courses in Adaptive Filters.Haykin examines both the mathematical theory behind various linear adaptive filters and the elements of supervised multilayer perceptrons. In its fourth edition, 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.NEW - Revision-Consolidates the mathematical treatment of linear adaptive filters. Improves the presentation of material on statistical LMS theory and statistical RLS theory.Expands the treatment of normalized LMS filters, and introduces the more general case of affine projection filters.Introduces sub-band adaptive filters.Repositions the teaching of Kalman filters after the treatment of RLS filters, thereby enhancing the unified treatment of square-root adaptive filters and order recursive adaptive filters.NEW - In-depth treatment of adaptive filters in a highly readable and understandable fashion. NEW - Major revision of the MATLAB codes for the computer experiments-Available on the web. NEW - Website () - 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. Extensive use of illustrative examples. Extensive use of MATLAB experiments-Illustrates the practical realities and intricacies of adaptive filters, the codes for which can be downloaded from the Web. Extensive bibliography of the subject.

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Wydawnictwo: angielskie
Data wydania: b.d
Kategoria: Popularnonaukowe
ISBN: 978-0-13-090126-2
Liczba stron: 0