?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F911%2F&rft.title=Multi-Resolution+Bayesian+Compressive+Sensing+for+Sparse+Target+Inversion&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=Non-Born+scatterer+retrieval+is+addressed+within+the+contrast+source+inversion+(CSI)+framework+using+a+novel+multi-step+inverse+scattering+approach.+The+unknown+contrast+sources+are+represented+in+a+multi-resolution+(MR)+framework+and+iteratively+reconstructed+using+a+Bayesian+compressive+sensing+(BCS)+approach%2C+which+employs+a+constrained+relevance+vector+machine+solver+to+promote+sparsity.+To+assess+the+reliability+and+robustness+of+the+proposed+MR-BCS-CSI+method%2C+representative+inversions+from+both+synthetic+and+experimental+data+are+presented.+Additionally%2C+comparisons+with+recent+state-of-the-art+alternatives+are+provided.&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%2F911%2F1%2FMulti-Resolution_Bayesian_Compressive_Sensing_for_Sparse_Target_Inversion.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)+Multi-Resolution+Bayesian+Compressive+Sensing+for+Sparse+Target+Inversion.++Technical+Report.+ELEDIA+Research+Center+-+University+of+Trento.+++++