Poli, L. and Oliveri, G. and Massa, A. (2015) Performance comparison between multi-frequency deterministic and probabilistic approaches. Technical Report. University of Trento.
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Abstract
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.
| Item Type: | Monograph (Technical Report) |
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| Uncontrolled Keywords: | Compressive Sensing, Inverse Scattering, Interval Analysis |
| Subjects: | M Methodologies > M CS Compressive Sensing |
| URI: | http://www.eledia.org/students-reports/id/eprint/668 |
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