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The independent component analysis (ICA) is a commonly used method to find the demixing matrix for the blind source separation (BSS). For speech signals, we should solve BSS problems in the convolutive mixing model, i.e., ICA technique is extended to the frequency domain. The cross-spectral density matrices are computed for each frequency bin instead of covariance matrices in time domain. The joint...
Techniques of using a microphone array to determine a sound source location, the localization problem, has been studied for many years. A popular method is the so-called MUSIC (Multiple Signal Classification). There is a second type of method that tries to solve both sound separation and localization problems in one setting. The second method used for localization purpose is less known. In this study,...
Given a time series of multicomponent measurements x(t), the usual objective of nonlinear blind source separation (BSS) is to find a ??source?? time series s(t), comprised of statistically independent combinations of the measured components. In this paper, the source time series is required to have a density function in (s, \mathdot s)-space that is equal to the product of density functions of individual...
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