Estudio de las Prestaciones de un Algoritmo LMS Modificado: Aplicación en ingeniería Biomédica
Abstract
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.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Upon acceptance of an article in the RMIB, corresponding authors will be asked to fulfill and sign the copyright and the journal publishing agreement, which will allow the RMIB authorization to publish this document in any media without limitations and without any cost. Authors may reuse parts of the paper in other documents and reproduce part or all of it for their personal use as long as a bibliographic reference is made to the RMIB. However written permission of the Publisher is required for resale or distribution outside the corresponding author institution and for all other derivative works, including compilations and translations.