BLIND SEPARATION OF SECOND-ORDER NONSTATIONARY AND TEMPORALLY COLORED SOURCES

BLIND SEPARATION OF SECOND-ORDER NONSTATIONARY AND TEMPORALLY COLORED SOURCES

ABSTRACT
This paper presents a method of blind source separation that jointly exploits the nonstationarity and temporal structure of sources . The method needs only multiple time-delayed correlation matrices of the observation data, each of which is evaluated at different time-windowed data frame, to estimate the demixing matrix. We show that the method is quite robust with respect to the spatially corre-lated but temporally white noise. We also discuss the extension of some existing second-order blind source separation methods. Extensive numerical experiments confirm the validity of the proposed method.