relation: http://www.eledia.org/students-reports/914/
title: Sparse Target Reconstruction via Multi-Resolution Bayesian Compressive Sensing
creator: SALUCCI, Marco
creator: POLI, Lorenzo
creator: ZARDI, Francesco
creator: TOSI, Luca
creator: LUSA, Samantha
creator: MASSA, Andrea
subject: A WC Next Generation Wireless Communications
subject: M CS Compressive Sensing
description: This work introduces a novel multi-step inverse scattering method within the contrast source inversion (CSI) framework, specifically designed to reconstruct non-Born scatterers. The technique models the unknown contrast sources using a multi-resolution (MR) approach, enabling a more flexible and detailed representation. These sources are then recovered iteratively using Bayesian compressive sensing (BCS). The performance and reliability of the MR-BCS-CSI method are validated through a set of numerical test cases.
publisher: ELEDIA Research Center - University of Trento
date: 2025
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/914/1/Sparse_Target_Reconstruction_via_Multi-Resolution_Bayesian_Compressive_Sensing.pdf
identifier:   SALUCCI, Marco and POLI, Lorenzo and ZARDI, Francesco and TOSI, Luca and LUSA, Samantha and MASSA, Andrea  (2025) Sparse Target Reconstruction via Multi-Resolution Bayesian Compressive Sensing.  Technical Report. ELEDIA Research Center - University of Trento.