%0 Report
%9 Technical Report
%A Poli, L.
%A Oliveri, G.
%A Massa, A.
%D 2015
%F elediasc12:668
%K Compressive Sensing, Inverse Scattering, Interval Analysis
%T Performance comparison between multi-frequency deterministic and probabilistic approaches
%U http://www.eledia.org/students-reports/668/
%X This report is aimed to show a comparison between the probabilistic inversion methods based on single-task and multi-task Compressive Sensing (CS) strategies recast in a Bayesian framework and a deterministic technique of the state-of-the-art (a conjugate gradient-based method). The results show in particular the better capabilities of the multi-task CS method to take advantage of multi-frequency data when dealing with small-size scatterer in inverse scattering problems. The efficiency and robustness of such a method is validated considering different sparse-scatterer scenarios and different value of signal-to-noise ratio on the data.