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Quasi-Newton Least Mean Fourth Adaptive Algorithm

Mansoor, Umair B.
Quasi-Newton Least Mean Fourth Adaptive Algorithm
Adaptive filtering algorithms have been proposed to improve the performance in terms of their steady- state error and convergence rate. They have also been developed to counter the effects of measurement noise. The conventional Least Mean Square (LMS) algorithm has been by far the most important in terms of its simplicity and range of applications. One of the Newton's method-based variants, the Recursive Least-Squares (RLS) is considered to be...

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