relation: http://www.eledia.org/students-reports/640/
title: Statistical Validation of a BCS-based Technique for Perfect Electric Conductors Retrieval
creator: Poli, L.
creator: Oliveri, G.
creator: Massa, A.
subject: M CS Compressive Sensing
subject: M EA Evolutionary Algorithms
description: In this report, a statistical analysis of the local shape function multi-task Bayesian compressive sensing technique is proposed. Accuracy and robustness of the technique has been evaluated varying the number and the position of the sparse PEC objects inside investigation domains of different size.
publisher: University of Trento
date: 2012
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/640/1/Statistical%20Validation%20of%20a%20BCS-based%20Technique%20for%20Perfect%20Electric%20Conductors%20Retrieval.pdf
identifier:   Poli, L. and Oliveri, G. and Massa, A.  (2012) Statistical Validation of a BCS-based Technique for Perfect Electric Conductors Retrieval.  Technical Report. University of Trento.