Processing the Noise Reduced NIRS Signal Using Enhanced Multivariate Empirical Mode Decomposition (EEMD) Technique with Correlation Analysis for Nano Sensor Applications

  • V. Divya, Dr. S. Sendil Kumar

Abstract

Electromyography signal filtering methods (EMG) are presented in these studies. Its key division is Modified Unfolded Empirical Modular Decomposition (EEMD), a new DSP technology that can convert any time series into a set of functions designated as internal mode functions. By studying the IMF (built-in mode functions) of many decomposition methods and EEMDs, the effectiveness of EEMDs has enhanced IMF orthogonality than EMDs.

Published
2020-03-31
How to Cite
Dr. S. Sendil Kumar, V. D. (2020). Processing the Noise Reduced NIRS Signal Using Enhanced Multivariate Empirical Mode Decomposition (EEMD) Technique with Correlation Analysis for Nano Sensor Applications. International Journal of Control and Automation, 13(02), 128 - 136. Retrieved from https://sersc.org/journals/index.php/IJCA/article/view/7215
Section
Articles