Research on Blind Source Separation with Noise Based on Multi Factor Analysis
Guo Hua Liu, Zeng Shan Yin, Zheng Wei Wang, Xiao Song Yao, Wen Zhe Yang · Applied Mechanics and Materials · 2014
The pre-processing method of blind source separation based on multifactor analysis is proposed to solve the blind source with noise. Firstly, the shortcomings of existing methods of blind source separation are point out after analyzing their principles. The multifactor analysis is introduced in blind source separation and the maximum likelihood estimate based on expectation maximum is used to estimate the common factor and random error. Finally the FastICA algorithm is used to separate BSS result. The validity and the advantage of this method are illustrated by an example.