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The Least-Mean-Square (LMS) Algorithm
[chapter]

2013
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Adaptive Filtering
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The least-mean-square (LMS) is a search algorithm in which a simplification of the gradient vector computation is made possible by appropriately modifying the objective function [1]- [2] . The LMS algorithm, as well as others related to it, is widely used in various applications of adaptive filtering due to its computational simplicity [3]- [7] . The convergence characteristics of the LMS algorithm are examined in order to establish a range for the convergence factor that will guarantee

doi:10.1007/978-1-4614-4106-9_3
fatcat:ub2siskc7nbifgvpbmhhits5eq