relation: http://www.eledia.org/students-reports/666/
title: BCS-based inversion methods within a multi-frequency framework
creator: Poli, L.
creator: Oliveri, G.
creator: Massa, A.
subject: M CS Compressive Sensing
description: In this report, the multi-frequency Multi-Task Bayesian Compressive Sensing (MT-BCS) technique is compared with the Single-Task Bayesian Compressive Sensing one (ST-BCS). The comparison shows how the first method, which concurrently handle the multi-frequency data taking into account the relationship between the correlated inverse problems associated to different illumination frequencies, provides better results. Moreover, single-frequency and multi-frequency approaches have been investigated.
publisher: University of Trento
date: 2015
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/666/1/BCS-based%20inversion%20methods%20within%20a%20multi-frequency%20framework.pdf
identifier:   Poli, L. and Oliveri, G. and Massa, A.  (2015) BCS-based inversion methods within a multi-frequency framework.  Technical Report. University of Trento.