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；

[1] 焦卫东,杨世锡,吴昭同.  基于独立分量分析的噪声消除技术研究[J]. 浙江大学学报(工学版). 2004(07)

[2] 刘琚,何振亚.  盲源分离和盲反卷积[J]. 电子学报. 2002(04)

[3] Hyvarinen A,Karhunen J,,Oja E.Independent componentanalysis. . 2001

[4] Andrzfj Clchocki,Shun-chi Amari.Adaptive blind signaland image processing. . 2002

[5] Van der Kouwe A J W,Wang D L,Brown G J.A comparison of auditory and blind separation techniques for speech segregation. IEEE Trans. on speech and audio proceeding . 2001

[6] Hyvarinen.A fast and robust fixed-point algorithms for independent component analysis. IEEE ACM Transactions on Networking . 1999
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