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  4. Multi-step pattern-recognition: A powerful tool for substance identification based on real-world terahertz-spectra
 
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2014
Conference Paper
Title

Multi-step pattern-recognition: A powerful tool for substance identification based on real-world terahertz-spectra

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.
Author(s)
Ellrich, F.  
Fraunhofer-Institut für Physikalische Messtechnik IPM  
Molter, D.
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Jonuscheit, J.  
Fraunhofer-Institut für Physikalische Messtechnik IPM  
Freymann, G. von  
Fraunhofer-Institut für Physikalische Messtechnik IPM  
Beigang, R.
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Platte, F.
Nalpantidis, K.
Fraunhofer-Institut für Physikalische Messtechnik IPM  
Sprenger, T.
Hübsch, D.
Fraunhofer-Institut für Physikalische Messtechnik IPM  
Mainwork
Conference on Lasers and Electro-Optics, CLEO 2014. Laser Science to Photonic Applications  
Conference
Conference on Lasers and Electro-Optics (CLEO) 2014  
Language
English
Fraunhofer-Institut für Physikalische Messtechnik IPM  
Keyword(s)
  • pattern recognition

  • terahertz spectroscopy

  • terahertz wave spectra

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