Estudio de las Prestaciones de un Algoritmo LMS Modificado: Aplicación en ingeniería Biomédica
This work presents a new adaptive algorithm with improved performance over the classical Least Mean Square (LMS) method. This algorithm takes advantage of the lag time between samples to implement another search algorithm. The Fletcher-Reeves algorithm was chosen because of its high convergence rate. The proposed method has demonstrated its efficacy in a system modeling theoretical problem, and in two biomedical engineering applications: network noise filtering and fetal ECG extraction.
Copyright (c) 1999 Revista Mexicana de Ingeniería Biomédica
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