@techreport{elediasc12657,
            year = {2014},
       publisher = {U},
          author = {L. Poli and G. Oliveri and F. Viani and A. Massa},
           title = {A three-step inversion method based on compressive sensing for imaging sparse scatterers},
            type = {Technical Report},
             url = {http://www.eledia.org/students-reports/657/},
        keywords = {Compressive Sensing, Inverse Scattering, Array Synthesis
},
        abstract = {This report is aimed at validating an innovative and efficient procedure, still within the CSI probabilistic framework, able to reliably retrieve sparse complex current coefficients by enforcing the interrelationships between their real and imaginary components exploiting a multi-task approach. Towards this end, a set of numerical experiments are proposed, comparing the performance of the multi-task approach with the standard single-task version with uncorrelated coefficients associated to the real and imaginary part of the currents.}
}