Journal of Guangdong University of Technology ›› 2008, Vol. 25 ›› Issue (2): 40-43.

• Comprehensive Studies • Previous Articles     Next Articles

BSS Algorithm Based on the New Cost Function

  

  1. Faculty of Applied Mathematics,Guangdong University of Technology,Guangzhou 510006,China
  • Online:2008-06-01 Published:2008-06-01

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Abstract: Two functions’ linearity combination was selected as cost function.It improved the validation of the blind source separation because of the randomicity of linearity combination.And then the rule was gained,based on the astringency theory of the Frobenius Norm.At last the signal with noise was estimated.It is proved that the Separation effect is very good.

Key words: blind source separation(BSS)； independent component analysis(ICA) algorithm； noise；

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