Comparative Performance Analysis of LMS and NLMS on ECG Signal by using TMS320C6713 DSK Kit
Author(s) -
Chaitanya M.Patil,
R.A.Deshpande R.A.Deshpande
Publication year - 2015
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/19589-1352
Subject(s) - computer science , least mean squares filter , signal (programming language) , speech recognition , adaptive filter , algorithm , programming language
Adaptive filtering constitutes one of the core technologies in the field of digital signal processing and finds numerous application in the areas of science and technology viz. echo cancellation, channel equalization, adaptive noise cancellation, adaptive beam-forming, biomedical signal processing etc. Noise of ECG signal will minimize by using two algorithms that is LMS and NLMS on TMS320C6713 DSK kit. A Simulink model is designed to generate auto C code for the DSP processor. The output results are analyzed using Digital Storage Oscilloscope (DSO) in terms of filtered signal. The results have also been compared with the LMS algorithm to prove the superiority of NLMS algorithm. General Terms Adaptive filter, Least mean square algorithm (LMS), Normalized least mean square algorithm (NLMS).
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