Title :
Improved blind source separation method based on independent component analysis and empirical mode decomposition
Author :
Jie, Zhang ; Jianhui, Lin
Author_Institution :
Sch. of Mech. Eng., Southwest Jiaotong Univ., Chengdu, China
Abstract :
Blind source separation (BSS) has recently received a great deal of attention in signal processing. In order to improve the limited separation performance of the conventional BSS method by the influence of the probability density of the source signal, based on the Independent Component Analysis and Empirical Mode Decomposition theories, an improved blind separation method is proposed. The method is demonstrated by some examples. Simulation results show the improved separation performance of the proposed method, and the time-frequency feature of the source signal has a better reflection.
Keywords :
blind source separation; independent component analysis; medical signal processing; probability; time-frequency analysis; blind source separation; empirical mode decomposition; independent component analysis; probability density; signal processing; source signal; time-frequency feature; Algorithm design and analysis; Blind source separation; Educational institutions; Independent component analysis; Sensors; Signal processing algorithms; blind source separation; empirical mode decomposition; independent component analysis; non-stationary processes; probability density;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2011 4th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9351-7
DOI :
10.1109/BMEI.2011.6098718
