  Blind source separation is one of the major analysis tool to extract relevant
information from multichannel data. While being central, joint deconvolution
and blind source separation (DBSS) methods are scarce. To that purpose, a DBSS
algorithm coined SDecGMCA is proposed. It is designed to process data sampled
on the sphere, allowing large-field data analysis in radio-astronomy.
