… UBSS of TF-nondisjoint nonstationary sources using time-frequency representations. The …
, first, a weaker assumption on the source “sparseness,” ie, the sources are not necessarily TF-…

… necessary to solve the problem of underdetermined blind source separation (UBSS). In the
… to solve the underdetermined blind separation in the time–frequency (TF) domain by Jourjine …

… underdetermined case, when there are more sources than sensors. We assume the sources
to be time-frequency … In particular, the number of sources presented at any TF neighborhood …

… the blind separation of nonstationary sources in the underdetermined case, in which we have
more sources … A recently proposed algorithm applied time-frequency distributions (TFDs) to …

… tionary sources in the underdetermined convolutive mixture … of the sources in the time–frequency
(TF) domain. The first one … sources to be nondisjoint in the TF domain; that is, multiple …

… of sources for underdetermined blind separation of non-disjoint sources in STFT domain. The
… guaranteed if the sources are non-overlapped in STFT domain (all the TF points are single-…

… the sources are disjoint or non-disjoint in the TF domain. A … the TF domain methods based
on the nonstationary sources. … was introduced to achieve the separation, by Belouchrani and …

… a new approach for blind separation of non-disjoint and nonstationary sources using TFDs.
… can separate more sources than sensors and provides, in the case of non-disjoint sources, a …

… on subspace projection using STFT, which assumes that the sources can be non-disjoint in
the TF domain, ie, the number of the active sources that coexist at any TF point (denoted by K …

… underdetermined blind source separation approach based on Wigner-Ville distribution (WVD) …
, “Underdetermined blind separation of nondisjoint sources in the time-frequency domain,” …