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This paper proposes a new one-stop blind source separation analysis method by combining wavelet transform, FastICA and self-organization mapping network. Firstly, we suppress the Gauss noises by using wavelet transform. Secondly, we separate the mixed signals utilizing FastICA to get the independent components. Finally, we cluster the signals with SOM to reveal the latent relationship of independent signals. Experimental results have shown the validity and effectiveness of the proposed method.

A One-Stop BSS Analysis Method of Integrated System Signals Based on Wavelet Transform, FastICA and SOM