DocumentCode :
1771176
Title :
Multi-step pattern-recognition: a powerful tool for substance identification based on real-world terahertz-spectra
Author :
Ellrich, Frank ; Molter, Daniel ; Jonuscheit, Joachim ; von Freymann, Georg ; Beigang, Rene ; Platte, Frank ; Nalpantidis, Konstantinos ; Sprenger, Thorsten ; Hubsch, Daniel
Author_Institution :
Fraunhofer Inst. for Phys. Meas. Tech. IPM, Kaiserslautern, Germany
fYear :
2014
fDate :
8-13 June 2014
Firstpage :
1
Lastpage :
2
Abstract :
Combining different chemometric tools we demonstrate the reliable identification of substances out of real-world terahertz-spectra. Systematic evaluation of the spectra allows for the distinction between spectral properties arising from samples geometry versus true material absorption.
Keywords :
pattern recognition; terahertz spectroscopy; terahertz wave spectra; chemometric tools; multistep pattern-recognition; real-world terahertz-spectra; sample geometry; spectral properties; substance identification; systematic evaluation; true material absorption; Correlation coefficient; Materials; Optical filters; Principal component analysis; Reliability; Spectroscopy; Time-domain analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Lasers and Electro-Optics (CLEO), 2014 Conference on
Conference_Location :
San Jose, CA
Type :
conf
Filename :
6989303
Link To Document :
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