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Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17
C. H. Dagli
C. H. Dagli
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Water vapor absorption significantly distorts the spectra of compounds that are measured in atmospheric air and makes it difficult to identify the compounds' terahertz fingerprints. To get clean spectra, it's necessary to measure the compounds in nitrogen environment or to measure another reference spectrum in air. But both methods face problems in real-life application scenarios, in which compounds are measured in atmospheric air with unknown and varying humidity. In this paper, Independent Component Analysis (ICA) is used to separate the water vapor absorption features from the Terahertz spectra of compounds that are measured in atmospheric air. The cleaned Terahertz spectra using ICA are compared with the reference spectra measured in nitrogen, which do not contain water vapor absorption features. Results show that ICA can effectively remove water vapor features from the compounds with only a single measurement.

Terahertz Spectra Data
ICA Algorithms
ICA for Extracting the Water Vapor Spectrum
ICA for Removing Water Vapor Features from RDX and HMX
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