?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F783%2F&rft.title=Microwave+Imaging+of+Sparse+Objects+through+Matrix+Completion&rft.creator=Oliveri%2C+G.&rft.creator=Salucci%2C+M.&rft.creator=Anselmi%2C+N.&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+novel+approach+to+solve+the+inverse+scattering+(IS)+problem+to+image+sparse+and+weak+targets+is+presented.+Towards+this+aim%2C+the+2D-TM+IS+problem+at+hand+is+formulated+within+the+first-order+Born+approximation+and+solved+by+integrating+a+Bayesian+compressive+sensing+(BCS)+solver+with+a+customized+matrix+completion+(MC)+procedure.+If+from+the+one+hand+the+BCS+allows+the+exploitation+of+sparseness+priors+to+regularize+the+IS+problem%2C+on+the+other+hand+the+MC+allows+to+enhance+the+reconstruction+quality+when+dealing+with+highly+noisy+scattering+data%2C+allowing+to+filter+out+the+less+reliable+solution+coefficients+and+to+complete+the+retrieved+dielectric+profile+image.&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%2F783%2F1%2FMicrowave%2520Imaging%2520of%2520Sparse%2520Objects%2520through%2520Matrix%2520Completion.pdf&rft.identifier=++Oliveri%2C+G.+and+Salucci%2C+M.+and+Anselmi%2C+N.++(2018)+Microwave+Imaging+of+Sparse+Objects+through+Matrix+Completion.++Technical+Report.+ELEDIA+Research+Center+-+University+of+Trento.+++++