LEAST MEAN SQUARE ALGORITHM
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 project report helper Active In SP Posts: 2,270 Joined: Sep 2010 01-11-2010, 05:50 PM   Ch_6lms.pdf (Size: 461.4 KB / Downloads: 199) LEAST MEAN SQUARE ALGORITHM Introduction The Least Mean Square (LMS) algorithm, introduced by Widrow and Hoff in 1959 [12] is an adaptive algorithm, which uses a gradient-based method of steepest decent [10]. LMS algorithm uses the estimates of the gradient vector from the available data. LMS incorporates an iterative procedure that makes successive corrections to the weight vector in the direction of the negative of the gradient vector which eventually leads to the minimum mean square error. Compared to other algorithms LMS algorithm is relatively simple; it does not require correlation function calculation nor does it require matrix inversions.

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