New BSS paper accepted in IEEE TSP

The paper "Sparsity and adaptivity for the blind separation of partially correlated sources" has just been accepted to IEEE Tr. on Signal Processing. This article introduces a new blind source separation that can unmix sparse sources that exhibit partial correlations. It paves the way for building BSS solvers under weaker separability conditions.   

PhD defense of Jérémy Rapin today at CEA Saclay

Title : Sparse decompositions for advanced data analysis of hyperspectral data in biological applications   Abstract : Blind source separation aims at extracting unknown source signals from observations where these sources are mixed together by an unknown process. However, this very generic and non-supervised approach does not always provide exploitable results. Therefore, it is often…