A non-iterative method for the electrical impedance tomography based on joint sparse recovery

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dc.contributor.authorLee, Ok Kyunko
dc.contributor.authorKang, Hyeonbaeko
dc.contributor.authorYe, Jong Chulko
dc.contributor.authorLim, Mikyoungko
dc.date.accessioned2015-06-29T04:50:02Z-
dc.date.available2015-06-29T04:50:02Z-
dc.date.created2015-04-24-
dc.date.created2015-04-24-
dc.date.created2015-04-24-
dc.date.issued2015-07-
dc.identifier.citationINVERSE PROBLEMS, v.31, no.7-
dc.identifier.issn0266-5611-
dc.identifier.urihttp://hdl.handle.net/10203/199511-
dc.description.abstractThe purpose of this paper is to propose a non-iterative method for the inverse conductivity problem of recovering multiple small anomalies from the boundary measurements. When small anomalies are buried in a conducting object, the electric potential values inside the object can be expressed by integrals of densities with a common sparse support on the location of anomalies. Based on this integral expression, we formulate the reconstruction problem of small anomalies as a joint sparse recovery and present an efficient non-iterative recovery algorithm of small anomalies. Furthermore, we also provide a slightly modified algorithm to reconstruct an extended anomaly. We validate the effectiveness of the proposed algorithm over the linearized method and the multiple signal classification algorithm by numerical simulations.-
dc.languageEnglish-
dc.publisherIOP PUBLISHING LTD-
dc.titleA non-iterative method for the electrical impedance tomography based on joint sparse recovery-
dc.typeArticle-
dc.identifier.wosid000356793700002-
dc.identifier.scopusid2-s2.0-84935906942-
dc.type.rimsART-
dc.citation.volume31-
dc.citation.issue7-
dc.citation.publicationnameINVERSE PROBLEMS-
dc.identifier.doi10.1088/0266-5611/31/7/075002-
dc.contributor.localauthorYe, Jong Chul-
dc.contributor.localauthorLim, Mikyoung-
dc.contributor.nonIdAuthorKang, Hyeonbae-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorelectrical impedance tomography-
dc.subject.keywordAuthorjoint sparsity recovery-
dc.subject.keywordAuthorsmall anomalies-
dc.subject.keywordAuthorcompressed sensing-
dc.subject.keywordAuthornon-iterative recovery-
dc.subject.keywordPlusDIFFUSE OPTICAL TOMOGRAPHY-
dc.subject.keywordPlusMULTIPLE-MEASUREMENT VECTORS-
dc.subject.keywordPlusCONDUCTIVITY INHOMOGENEITIES-
dc.subject.keywordPlusBOUNDARY MEASUREMENTS-
dc.subject.keywordPlusINVERSE PROBLEMS-
dc.subject.keywordPlusRECONSTRUCTION-
dc.subject.keywordPlusALGORITHM-
dc.subject.keywordPlusREGULARIZATION-
dc.subject.keywordPlusIDENTIFICATION-
dc.subject.keywordPlusREPRESENTATION-
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