Least-Mean-Square Adaptive Filters by SImon Haykin, Bernard Widrow (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control, v.31)
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Overview: A landmark text in LMS filter technology– from the field’s leading authorities
In the field of electrical engineering and signal processing, few algorithms have proven as adaptable as the least-mean-square (LMS) algorithm. Devised by Bernard Widrow and M. Hoff, this simple yet effective algorithm now represents the cornerstone for the design of adaptive transversal (tapped-delay-line) filters.
Today, working efficiently with LMS adaptive filters not only involves understanding their fundamentals, it also means staying current with their many applications in practical systems. However, no single resource has presented an up-to-the-minute examination of these and all other essential aspects of LMS filters-until now.
Genre: Non-Fiction > General /Engineering
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