— Many source separation algorithms fail to deliver robust performance in presence of artifacts introduced by cross-channel redundancy, non-homogeneous mixing and highdimensional...
Independent Component Analysis (ICA) is a statistical computation method that transforms a random vector in another one whose components are independent. Because the marginal distr...
Jorge Igual, Jehad I. Ababneh, Raul Llinares, Juli...
: Most of published audio watermark algorithms are suffered a trade-off between inaudibility and detectibility, and the detection performance depends greatly on the strength of noi...
Thuong Le-Tien, Dien Vo-Ngoc, Lan Ngo-Hoang, Sung ...
This discussion presents a new perspective of subspace independent component analysis (ICA). The notion of a function of cumulants (kurtosis) is generalized to vector kurtosis. Th...
— We show that independent component analysis (ICA) can be used to find distributed representations for words that can be further processed by thresholding to produce sparse rep...