Journal of Applied Sciences ›› 1999, Vol. 17 ›› Issue (2): 156-162.
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LIU JU1,, LU ZIYI1, HE ZHENYA1, MEI LIANGMO2
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Abstract: Based on the assumption of statistics independent, we proposed an mutual information minimizing object function where Edgeworth expansion is used. This function can be explained clearly and its minimization would make the outputs independent. Computer simulation shows the validity of proposed method.
Key words: mutual information, independent signals, blind separation of sources
LIU JU, LU ZIYI, HE ZHENYA, MEI LIANGMO. An Information Theory Based Method for Blind Separation of Sources[J]. Journal of Applied Sciences, 1999, 17(2): 156-162.
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https://www.jas.shu.edu.cn/EN/Y1999/V17/I2/156
