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2014
Conference Paper
Titel
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)