An Algorithm of Blind Source Separation Based on Time Correlation
Yan Liu, Shu Qin · Signal Processing · 2009
A concept of signal time correlation is given in this paper.It is proved that a linear mixture of statistically uncorrelated source signals has this property:the signal time correlation of any mixed signal is between the minimal and maximal value of its compo- nent source signals.Following this definition and property,a problem about generalized eigenvalue is obtained by using generalized matrix eigenvalue theory.The goal of blind separation of signals is achieved by getting the eigenvectors of the generalized eigenvalue problem. This algorithm is based on instantaneous-mixed module.This algorithm has been proved to adapt to the separation of black images and the separation of voices in complex environment.The calculation is simple;performance is all right and effect is good.