?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F668%2F&rft.title=Performance+comparison+between+multi-frequency+deterministic+and+probabilistic+approaches&rft.creator=Poli%2C+L.&rft.creator=Oliveri%2C+G.&rft.creator=Massa%2C+A.&rft.subject=M+CS+Compressive+Sensing&rft.description=This+report+is+aimed+to+show+a+comparison+between+the+probabilistic+inversion+methods+based+on+single-task+and+multi-task+Compressive+Sensing+(CS)+strategies+recast+in+a+Bayesian+framework+and+a+deterministic+technique+of+the+state-of-the-art+(a+conjugate+gradient-based+method).+The+results+show+in+particular+the+better+capabilities+of+the+multi-task+CS+method+to+take+advantage+of+multi-frequency+data+when+dealing+with+small-size+scatterer+in+inverse+scattering+problems.+The+efficiency+and+robustness+of+such+a+method+is+validated+considering+different+sparse-scatterer+scenarios+and+different+value+of+signal-to-noise+ratio+on+the+data.&rft.publisher=University+of+Trento&rft.date=2015&rft.type=Monograph&rft.type=NonPeerReviewed&rft.format=text&rft.language=en&rft.identifier=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F668%2F1%2FPerformance%2520comparison%2520between%2520multi-frequency%2520deterministic%2520and%2520probabilistic%2520approaches.pdf&rft.identifier=++Poli%2C+L.+and+Oliveri%2C+G.+and+Massa%2C+A.++(2015)+Performance+comparison+between+multi-frequency+deterministic+and+probabilistic+approaches.++Technical+Report.+University+of+Trento.+++++