关键词: 盲信号分离, 独立分量分析, 差分, 可靠性

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