Journal of South China University of Technology (Natural Science Edition) ›› 2007, Vol. 35 ›› Issue (5): 50-53.

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Judgment on Consistency of Blind Source Separation Outputs with Source Signals

Yao Zhi-xiang1  Liu Huan-bin1  Su Hui2   

  1. 1. State Key Laboratory of Pulp and Paper Making Engineering， South China Univ. of Tech. , Guangzhou 510640 , Guangdong, China;2. Dept. of Biological and Chemical Engineering, Guangxi Univ. of Tech. , Liuzhou 545006 , Guangxi , China
  • Received:2006-05-15 Online:2007-05-25 Published:2007-05-25
  • Contact: 姚志湘(1968-)，男，博士后出站，广西工学院教授，主要从事过程分析技术方面的研究. E-mail:zxyao@21cn.com
  • About author:姚志湘(1968-)，男，博士后出站，广西工学院教授，主要从事过程分析技术方面的研究.
  • Supported by:

    中国博士后科学基金资助项目(2005037583) ;广西自然科学基金资助项目(桂科基0448010)

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Abstract:

In the blind source separation (BSS) , it is necessarγto judge whether the BSS outputs are consistent with the source signals. In this paper , based on the statistical independence of statistical independence variable functions , a method to judge the consistency of the outputs in independent component analysis (ICA) with the source signals is presented. In this method , the correlation matrix of two mixing matrices which respectively belong
to the source signals and the source differences is calculated , and the consistencies of the independent components with the source signals are then judged according to the maximum correlation coefficients corresponding to each independent component. Simulated and experimental results indicate that the independent components are consistent with the corresponding source signals when the maximum correlation coefficients converge 1 , and that the maximum correlation coefficient should not be less than O. 8 to ensure the separation accuracy.

Key words: Blind Source Separation, Independent Component Analysis, difference, reliability