FastICA Blind Source Separation Based on Secondary-wavelet Denoising
ZHAO Kui
HUANG Gaoming
Abstract：A three‐step method about noise mixed signal separation is put forward in this paper ,the wavelet filter de‐noising processing method and the fast independent component analysis(FastICA ) blind sources separation technique to are used realize the separation ,then the wavelet filtering method is used again to the separated signals .The simulation results show that the technique performs well in signal separation by comparing the waves and signal to noise ratio before and after separation and it has good denoising performance and separation effect .
Keywords：wavelet filterindependent component analysiswaveformaverage signal noise ratio
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 36-40 )