A modified method for blind source separation

Authors:
Shih-Lin Lin;Pi-Cheng Tung
Affiliations:
National Central University, Department of Mechanical Engineering, Jhongli City, Taoyuan County, Taiwan;National Central University, Department of Mechanical Engineering, Jhongli City, Taoyuan County, Taiwan
Venue:
ACS'06 Proceedings of the 6th WSEAS international conference on Applied computer science
Year:
2006

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Abstract

Blind source separation is an important but highly challenging technology in astronomy, physics, chemistry, life science, medical science, earth science, and applied sciences. Independent Component Analysis (ICA) employed technologies in applied computer science for blind source separation. In the separation of blind sources under multiple sensors, it can estimate approximately the types of signal. This study proposed a modified ICA algorithm which can estimate the actual phase and amplitude and retrieve the signals separated by blind source separation to its original state. This method has great potential for application in many different fields.