?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F780%2F&rft.title=Multi%E2%80%90Resolution+Imaging+through+a+Novel+Bayesian+Compressive+Sensing+Approach&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+multi-resolution+strategy+is+proposed+for+improving+the+reconstruction+capabilities++of+standard+Bayesian+compressive+sensing+(BCS)+when+dealing+with+the+imaging+of+sparse+targets.+Towards+this+end%2C+a+customized+relevance+vector+machine+(RVM)+solver+is+derived+and+implemented+in+order+to+exploit+the+progressively+acquired+information+about+the+scatterer+shape+and+location+within+the+imaged+domain.%0DSome+numerical+results+are+shown+to+validate+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%2F780%2F1%2FMulti%25E2%2580%2590Resolution_Imaging_through_a_Novel_Bayesian_Compressive_Sensing_Approach.v2.pdf&rft.identifier=++Anselmi%2C+N.+and+Poli%2C+L.+and+Oliveri%2C+G.+and+Massa%2C+A.++(2018)+Multi%E2%80%90Resolution+Imaging+through+a+Novel+Bayesian+Compressive+Sensing+Approach.++Technical+Report.+ELEDIA+Research+Center+-+University+of+Trento.+++++