?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F638%2F&rft.title=Multi-task+Bayesian+Compressive+Sensing+Method+for+Imaging+Sparse+Metallic+Cylinders&rft.creator=Poli%2C+L.&rft.creator=Oliveri%2C+G.&rft.creator=Massa%2C+A.&rft.subject=M+CS+Compressive+Sensing&rft.subject=M+EA+Evolutionary+Algorithms&rft.description=In+this+report%2C+an+innovative+method+for+the+localization+of+multiple+sparse+metallic+targets+is+proposed.+Starting+from+the+local+shape+function+formulation+of+the+inverse+scattering+problem+and+exploiting+the+multitask+Bayesian+compressive+sensing+paradigm%2C+a+two-step+approach+is+applied+where%2C+after+a+first+estimation+of+the+LSF+scattering+amplitudes%2C+the+reconstruction+of+the+metallic+objects+is+yielded+through+a+thresholding+and+voting+step.+The+calibration+of+the+BCS+parameters+together+with+some+preliminary+results+dealing+with+small+scatterers+reported.&rft.publisher=University+of+Trento&rft.date=2014&rft.type=Monograph&rft.type=NonPeerReviewed&rft.format=text&rft.language=en&rft.identifier=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F638%2F1%2FMulti-task%2520Bayesian%2520Compressive%2520Sensing%2520Method%2520for%2520Imaging%2520Sparse%2520Metallic%2520Cylinders.pdf&rft.identifier=++Poli%2C+L.+and+Oliveri%2C+G.+and+Massa%2C+A.++(2014)+Multi-task+Bayesian+Compressive+Sensing+Method+for+Imaging+Sparse+Metallic+Cylinders.++Technical+Report.+University+of+Trento.+++++