?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F914%2F&rft.title=Sparse+Target+Reconstruction+via+Multi-Resolution+Bayesian+Compressive+Sensing&rft.creator=SALUCCI%2C+Marco&rft.creator=POLI%2C+Lorenzo&rft.creator=ZARDI%2C+Francesco&rft.creator=TOSI%2C+Luca&rft.creator=LUSA%2C+Samantha&rft.creator=MASSA%2C+Andrea&rft.subject=A+WC+Next+Generation+Wireless+Communications&rft.subject=M+CS+Compressive+Sensing&rft.description=This+work+introduces+a+novel+multi-step+inverse+scattering+method+within+the+contrast+source+inversion+(CSI)+framework%2C+specifically+designed+to+reconstruct+non-Born+scatterers.+The+technique+models+the+unknown+contrast+sources+using+a+multi-resolution+(MR)+approach%2C+enabling+a+more+flexible+and+detailed+representation.+These+sources+are+then+recovered+iteratively+using+Bayesian+compressive+sensing+(BCS).+The+performance+and+reliability+of+the+MR-BCS-CSI+method+are+validated+through+a+set+of+numerical+test+cases.&rft.publisher=ELEDIA+Research+Center+-+University+of+Trento&rft.date=2025&rft.type=Monograph&rft.type=NonPeerReviewed&rft.format=text&rft.language=en&rft.identifier=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F914%2F1%2FSparse_Target_Reconstruction_via_Multi-Resolution_Bayesian_Compressive_Sensing.pdf&rft.identifier=++SALUCCI%2C+Marco+and+POLI%2C+Lorenzo+and+ZARDI%2C+Francesco+and+TOSI%2C+Luca+and+LUSA%2C+Samantha+and+MASSA%2C+Andrea++(2025)+Sparse+Target+Reconstruction+via+Multi-Resolution+Bayesian+Compressive+Sensing.++Technical+Report.+ELEDIA+Research+Center+-+University+of+Trento.+++++