relation: http://www.eledia.org/students-reports/668/
title: Performance comparison between multi-frequency deterministic and probabilistic approaches
creator: Poli, L.
creator: Oliveri, G.
creator: Massa, A.
subject: M CS Compressive Sensing
description: 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.
publisher: University of Trento
date: 2015
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/668/1/Performance%20comparison%20between%20multi-frequency%20deterministic%20and%20probabilistic%20approaches.pdf
identifier:   Poli, L. and Oliveri, G. and Massa, A.  (2015) Performance comparison between multi-frequency deterministic and probabilistic approaches.  Technical Report. University of Trento.