Joint Sparsity Recovery Method for the EIT Problem to Reconstruct Anomalies

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dc.contributor.authorLee, Ok-Kyunko
dc.contributor.authorKang, Heongbaeko
dc.contributor.authorLim, Mikyoungko
dc.contributor.authorYe, Jong-Chulko
dc.date.accessioned2015-04-29-
dc.date.available2015-04-29-
dc.date.created2015-04-24-
dc.date.created2015-04-24-
dc.date.created2015-04-24-
dc.date.issued2015-04-18-
dc.identifier.citation12th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2015-
dc.identifier.urihttp://hdl.handle.net/10203/198172-
dc.languageEnglish-
dc.publisherIEEE-
dc.titleJoint Sparsity Recovery Method for the EIT Problem to Reconstruct Anomalies-
dc.typeConference-
dc.identifier.wosid000380546000244-
dc.identifier.scopusid2-s2.0-84944315037-
dc.type.rimsCONF-
dc.citation.publicationname12th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2015-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationNew York Marriott at the Brooklyn Bridge-
dc.contributor.localauthorLim, Mikyoung-
dc.contributor.localauthorYe, Jong-Chul-
dc.contributor.nonIdAuthorKang, Heongbae-
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