Адаптивные алгоритмы на основе алгоритма среднеквадратической кодированной ошибки

In this paper a modification of the Least Mean Square (LMS) adaptive algorithm is presented based on a modification of the codification of the error signal. This modification allows having an algorithm easier to implement in a digital adaptive filter, besides that a greater convergence speed is obtained. A comparison of the proposed modification with the conventional LMS algorithm and some of its known variants is provided to show the advantages of proposed algorithm.