Sparsity in array processing: methods and performances

In the last few years, we witnessed to an extraordinary and still growing development of sparse signal recovery in a wide number of applicative contexts such as communications, biomedicine, radar, microwave imaging, source localization, astronomy, seismology... In many realistic array processing applications, the sparsity nature underlying various signals/arrays has to be exploit in recovery algorithms to enhance their performances. In this special session, most recent results in estimators based on sparsity-­‐promoting criteria is proposed.