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Proceedings Paper

Quantitative estimation of trace chemicals in industrial effluents with the Sticklet transform method
Author(s): Naresh C. Mehta; Ernst Ted Scharlemann; Charles G. Stevens
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Paper Abstract

Application of a novel transform operator, the Sticklet transform, to the quantitative estimation of trace chemicals in industrial effluent plumes is reported. The sticklet transform si a superset of the well-known derivative operator and the Haar wavelet, and is characterized by independently adjustable lobe width and separation. Computer simulations demonstrate that we can make accurate and robust concentration estimates of multiple chemical species in industrial effluent plumes in the presence of strong clutter background, interferent chemicals and random noise. In this paper we address the application of the sticklet transform in estimating chemical concentrations in the effluent plumes in the presence of atmospheric transmission effects. We show that this transform retains the ability to yield accurate estimates using on-plume / off-plume measurements that represenst atmospheric differentials up to 10% of the full atmospheric attenuation.

Paper Details

Date Published: 22 August 2001
PDF: 11 pages
Proc. SPIE 4378, Chemical and Biological Sensing II, (22 August 2001); doi: 10.1117/12.438189
Show Author Affiliations
Naresh C. Mehta, Lawrence Livermore National Lab. (United States)
Ernst Ted Scharlemann, Lawrence Livermore National Lab. (United States)
Charles G. Stevens, Lawrence Livermore National Lab. (United States)


Published in SPIE Proceedings Vol. 4378:
Chemical and Biological Sensing II
Patrick J. Gardner, Editor(s)

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