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《Journal of Data Acquisition and Processing》 2011-05
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Underdetermined Blind Separation Based on Independent Component Analysis for Phase Coded Signals

Xiong Ying,Chen Xiaojun,Tang Bin(College of Electronic Engineering,University of Electronic Science and Technology of China,Chengdu,610054,China)  
A method for the mixing matrix estimation and source recoveration in the underdetermined source separation is proposed in which the shaped phase coded signals are not sparse in time domain or frequency domain.By means of particularity among the shaped phase coded signals,a method is presented,which uses tapped delay lines to turn an underdetermined convolutive blind source separation problem into an overdetermined instantaneous blind source separation problem which can be solved by independent component analysis(ICA) algorithm.Furthermore,the sources can be estimated by using kurtosis choosing and least mean square(LMS) algorithm precisely.The method can overcome the difficulty that the sources are not sparse enough to estimate the matrix and recover signal in time or frequency domains.
【CateGory Index】: TN911.7
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