We propose a new method for separating superimposed sources using
diffus...
A bilateral (i.e., upper and lower) bound on the mean-square error under...
We study the single-channel source separation problem involving orthogon...
We study the problem of extracting biometric information of individuals ...
We study the potential of data-driven deep learning methods for separati...
We study the problem of single-channel source separation (SCSS), and foc...
Direct localization (DLOC) methods, which use the observed data to local...
In a growing number of applications, there is a need to digitize a (poss...
Independent Vector Analysis (IVA) has emerged in recent years as an exte...
Maximum Likelihood (ML) estimation requires precise knowledge of the
und...
A novel blind estimate of the number of sources from noisy, linear mixtu...
We consider the fundamental problem of robust deconvolution, and particu...
A blind Direction-of-Arrivals (DOAs) estimate of narrowband signals for
...
In the context of Independent Component Analysis (ICA), noisy mixtures p...