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dc.contributor.authorMatusiak, Bartosz
dc.contributor.authorGrudzień, Krzysztof
dc.contributor.authorRomanowski, Andrzej
dc.contributor.authorJackowska-Strumiłło, Lidia
dc.date.accessioned2015-06-03T11:14:45Z
dc.date.available2015-06-03T11:14:45Z
dc.date.issued2009
dc.identifier.citationZeszyty Naukowe Politechniki Łódzkiej. Elektryka., 2009 z.114 Spec. s.127-133
dc.identifier.issn0374-4817
dc.identifier.otherP-2090
dc.identifier.other0000022557
dc.identifier.otherW serii gł. nr 1023.
dc.identifier.urihttp://hdl.handle.net/11652/361
dc.description.abstractStatistical methods such as Monte Carlo Markov Chain (MCMC) coupled with Bayesian approach proved its usefulness to the Electrical Capacitance Tomography (ECT) inverse problem solution. However, this methodology is very sensitive to the values of method parameters. The dedicated tool for investigation of this statistical method and for algorithm adjusting, testing, verification and optimization is proposed in the paper.en_EN
dc.formatapplication/pdf
dc.language.isoen
dc.publisherWydawnictwo Politechniki Łódzkiejpl_PL
dc.publisherLodz University of Technology. Pressen_EN
dc.relation.ispartofseriesZeszyty Naukowe Politechniki Łódzkiejpl_PL
dc.titleTomography MCMC method exploration software package
dc.typeArtykuł
dc.typeArticleen_EN


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