TY  - RPRT
Y1  - 2015///
UR  - http://www.eledia.org/students-reports/668/
TI  - Performance comparison between multi-frequency deterministic and probabilistic approaches
N2  - 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.
M1  - technical_report
A1  - Poli, L.
A1  - Oliveri, G.
A1  - Massa, A.
ID  - elediasc12668
PB  - University of Trento
KW  - Compressive Sensing
KW  -  Inverse Scattering
KW  -  Interval Analysis
AV  - public
ER  -