?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F781%2F&rft.title=Multi%E2%80%90Scaling+Bayesian+Compressive+Sensing+Imaging+of+Dielectric+Objects&rft.creator=Anselmi%2C+N.&rft.creator=Poli%2C+L.&rft.creator=Oliveri%2C+G.&rft.creator=Massa%2C+A.&rft.subject=A+WC+Next+Generation+Wireless+Communications&rft.subject=M+AT+Analytic+Techniques&rft.subject=M+CS+Compressive+Sensing&rft.description=In+this+work%2C+a+new+Bayesian+compressive+sensing+(BCS)-based+imaging+technique+is+proposed+to+exploit+additional+information+besides+that+on+the+target+sparsity.+More+precisely%2C+an+innovative+iterative+multi-scaling+(IMSA)-BCS+scheme+is+proposed+to+combine+the+a-priori+knowledge+on+the+class+of+scatterers+and+the+progressively+acquired+information+on+the+location+and+the+size+of+the+unknown+object.+Accordingly+the+2D+transverse+magnetic+(TM)+inverse+scattering+problem+is+solved+by+means+of+an+innovative+IMSA-based+information-driven+relevance+vector+machine+(RVM)+solver.+Some+numerical+results+are+shown+to+verify+the+effectiveness+of+the+proposed+imaging+technique.&rft.publisher=ELEDIA+Research+Center+-+University+of+Trento&rft.date=2018&rft.type=Monograph&rft.type=NonPeerReviewed&rft.format=text&rft.language=en&rft.identifier=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F781%2F1%2FMulti%25E2%2580%2590Scaling%2520Bayesian%2520Compressive%2520Sensing%2520Imaging%2520of%2520Dielectric%2520Objects.pdf&rft.identifier=++Anselmi%2C+N.+and+Poli%2C+L.+and+Oliveri%2C+G.+and+Massa%2C+A.++(2018)+Multi%E2%80%90Scaling+Bayesian+Compressive+Sensing+Imaging+of+Dielectric+Objects.++Technical+Report.+ELEDIA+Research+Center+-+University+of+Trento.+++++