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| A Method of Underdetermined Blind Source Extraction via Time-Domain |
| Wang Rongjie1, 2, Zhan Yiju2, Zhuo Haifeng1, Yang Linju2 |
| 1. Jimei University Xiamen 361021 2. Sun Yat-sen University Guangzhou 510006 |
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Abstract The sources extraction from their underdetermined instantaneous mixtures via time- domain is presented in this article. Firstly, an algorithm based on differential kurtosis to separate non-stationary sources with underdetermined case one by one is introduced. Then the rest sources are recovered by using an algorithm based on second-order statistics. The simulation results show that the proposed method can separate sources of super- and sub-Gaussian distribution, and its superior performances to other conventional methods.
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Received: 24 June 2010
Published: 20 March 2014
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2012, Vol. 27 
