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