eprintid: 498
rev_number: 4
eprint_status: archive
userid: 5
dir: disk0/00/00/04/98
datestamp: 2011-08-04
lastmod: 2013-07-01 11:23:49
status_changed: 2013-07-01 11:23:49
type: techreport
metadata_visibility: show
item_issues_count: 0
creators_name: Franceschini, Gabriele
creators_name: Massa, Andrea
title: An Unsupervised Strategy Based on a Fuzzy-Logic System for the Exploitation of the Information Content of Noisy Data in Inverse Scattering Problems
ispublished: pub
subjects: TU
full_text_status: public
abstract: Inverse scattering data, although collected in a controlled-environment, are generally corrupted by an electromagnetic noise, which strongly affects the effectiveness of reconstruction strategies because of the intrinsic ill-conditioning of the problem. To limit the effects of the noise on the retrieval procedure, this paper presents an innovative fuzzy-logic-based approach, which allows one to take into account the corrupted nature of the data by fully exploiting all the available information content of the measurements. Selected numerical experiments in a noisy scenario are considered for assessing the potentialities of the approach also in comparison with a reference inverse scattering technique. This is the author's version of the final version available at IEEE.
date: 2011-01
date_type: published
institution: University of Trento
department: informaticat
refereed: FALSE
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citation:   Franceschini, Gabriele and Massa, Andrea  (2011) An Unsupervised Strategy Based on a Fuzzy-Logic System for the Exploitation of the Information Content of Noisy Data in Inverse Scattering Problems.  [Technical Report]     
document_url: http://www.eledia.org/students-reports/498/1/DISI-11-274.C91.pdf