New method of blind source separation based on Gabor transformation
Tiejun Wang · Zhendong yu chongji · 2010
A new method of blind source separation(BSS)based on Gabor transformation was proposed.Compared with the traditional BSS methods,this new method could obtain the estimate of the mixing matrix so as to separate the mixing signals based on the characteristics of time-frequency distribution of the source signals.Even if the source signals were correlative,or there were more than one Gaussian signal in the sources,one could get better separation performance by using this new method.The simulation results showed the feasibility and validity of the method,it may provide a new research direction for blind signal separation.