?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F658%2F&rft.title=Multi-task+Bayesian+Compressive+Sensing+for+microwave+imaging+exploiting+the+minimum-norm+current+formulation&rft.creator=Poli%2C+L.&rft.creator=Oliveri%2C+G.&rft.creator=Viani%2C+F.&rft.creator=Massa%2C+A.&rft.subject=M+CS+Compressive+Sensing&rft.description=In+this+report%2C+an+innovative+three-step+contrast-source+probabilistic+technique+is+proposed+for+the+reconstruction+of+image+2D-sparse+dielectric+profiles.+Within+the+formulation+of+the+inverse+scattering+problem%2C+such+an+approach+combines+(i)+a+SVD-based+step+to+retrieve+the+minimum-norm+currents%2C+(ii)+a+probabilistic+reformulation+of+the+inverse+scattering+problem+in+terms+of+the+real+and+imaginary+parts+of+the+sparse+contrast+currents+(iii)+a+multi-task+BCS+strategy+for+properly+correlating+the+unknown+variables+(real+and+imaginary+parts+of+contrast+source+coefficients).+An+enhanced+version+of+the+multi-task+implementation+that+takes+into+account+the+correlations+real+and+imaginary+parts+of+contrast+source+coefficients+related+to+different+views+is+also+investigated+through+a+wide+set+of+numerical+experiments.&rft.publisher=University+of+Trento&rft.date=2014&rft.type=Monograph&rft.type=NonPeerReviewed&rft.format=text&rft.language=en&rft.identifier=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F658%2F1%2FMulti-task%2520Bayesian%2520Compressive%2520Sensing%2520for%2520microwave%2520imaging%2520exploiting%2520the%2520minimum-norm%2520current%2520formulation.pdf&rft.identifier=++Poli%2C+L.+and+Oliveri%2C+G.+and+Viani%2C+F.+and+Massa%2C+A.++(2014)+Multi-task+Bayesian+Compressive+Sensing+for+microwave+imaging+exploiting+the+minimum-norm+current+formulation.++Technical+Report.+University+of+Trento.+++++