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Please use this identifier to cite or link to this item: http://hdl.handle.net/2014/41018

Title: Space invariant independent component analysis and ENose for detection of selective chemicals in an unknown environment
Authors: Duong, Tuan A.
Ryan, Margaret A.
Duong, Vu A.
Keywords: space invariant independent component analysis
ENose
chemical detection
Issue Date: 5-Sep-2007
Publisher: Fuji Technology Press Ltd
Citation: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 11 no. 10, 2007 pp.1197-1203
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.
URI: http://hdl.handle.net/2014/41018
Appears in Collections:JPL TRS 1992+

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