relation: http://www.eledia.org/students-reports/290/
title: Reconstruction of Sparse Scatterers through an Approximated Compressive Sensing Strategy  
creator: Poli, L.
creator: Oliveri, G.
creator: Massa, A.
subject: M CS Compressive Sensing
description: This report proposes a numerical validation of the Bayesian Compressive Sampling-based technique for imaging dielectric cylinders within the conditions of "sparsity" and "weakness" of the scatterers. Various shake of the scatterers and different values of dielectric permittivity have been considered.
publisher: University of Trento
date: 2012
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/290/7/Internal.Report.ELEDIA.R218.Part.2.pdf
identifier:   Poli, L. and Oliveri, G. and Massa, A.  (2012) Reconstruction of Sparse Scatterers through an Approximated Compressive Sensing Strategy.  Technical Report. University of Trento.