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Proceedings Paper

Classification Of Compounds Using A Window Fourier Domain System
Author(s): Jeffrey W. Sherman; James A de Haseth
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Paper Abstract

A system for classifying compounds using Fourier domain data is presented. This method involves windowing dominant bands from infrared absorbance spectra so that finer spectral features are emphasized when the spectrum is transformed to the Fourier domain. After transformation, compounds are classified based upon the similarity of the Fourier domain representations of the spectral data by computing the dot products of each possible combination of the members of a library. This classification method yields information about functional groups, structures, and substitutions as well as the combination of bands that are important for identifying unknown spectra.

Paper Details

Date Published: 1 December 1989
PDF: 2 pages
Proc. SPIE 1145, 7th Intl Conf on Fourier Transform Spectroscopy, (1 December 1989); doi: 10.1117/12.969407
Show Author Affiliations
Jeffrey W. Sherman, University of Georgia (United States)
James A de Haseth, University of Georgia (United States)


Published in SPIE Proceedings Vol. 1145:
7th Intl Conf on Fourier Transform Spectroscopy

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