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Space invariant independent component analysis and ENose for detection of selective chemicals in an unknown environment

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dc.contributor.author Duong, Tuan A.
dc.contributor.author Ryan, Margaret A.
dc.contributor.author Duong, Vu A.
dc.date.accessioned 2008-12-03T22:47:31Z
dc.date.available 2008-12-03T22:47:31Z
dc.date.issued 2007-09-05
dc.identifier.citation Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 11 no. 10, 2007 pp.1197-1203 en_US
dc.identifier.clearanceno 05-3695
dc.identifier.uri http://hdl.handle.net/2014/41018
dc.description.abstract In this paper, we present a space invariant architecture to enable the Independent Component Analysis (ICA) to solve chemical detection from two unknown mixing chemical sources. The two sets of unknown paired mixture sources are collected via JPL 16-ENose sensor array in the unknown environment with, at most, 12 samples data collected. en_US
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US en_US
dc.publisher Fuji Technology Press Ltd en_US
dc.subject space invariant independent component analysis en_US
dc.subject ENose en_US
dc.subject chemical detection en_US
dc.title Space invariant independent component analysis and ENose for detection of selective chemicals in an unknown environment en_US
dc.type Article en_US


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