Blind Source Separation Based on Power Spectral Density

摘要

In this paper, a novel blind separation approach using power spectral density(PSD) is presented. The power spectrum itself is the Fourier transform of the auto-correlation function. Auto-correlation function represents the relationship of long and short-term correlation within the signal itself. This paper using power spectral density and cross power spectral density separate blind mixed source signals. In practice, non-stationary signals always have different PSD. The method is suitable for dealing with non-stationary signal. And simulation results have shown that the method is feasible.