Abstract

A new library searching technique is reported that relies on Fourier transforms of infrared (IR) absorbance spectra. Searching in the time domain is shown to be more tolerant to noise than searches in the spectral domain and fewer points are required to encode the unique characteristics of the individual spectrum. This decreases both search time and library storage requirements. Additionally, time-domain classification of IR spectra is demonstrated and the possibility of indexing the library for a binary search is discussed.

Analysis of far-infrared emission Fourier transform spectra

Jae H. Park and Bruno Carli
Appl. Opt. 25(19) 3490-3501 (1986)

Multiple order spectra in Fourier transform infrared spectroscopy

Tomas Hirschfeld
Appl. Opt. 16(7) 1905-1907 (1977)

New trends in the application of Fourier transform infrared spectroscopy to analytical chemistry

Tomas Hirschfeld
Appl. Opt. 17(9) 1400-1412 (1978)

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J. Schreiber, T. Blumenstock, and H. Fischer
Appl. Opt. 35(31) 6203-6209 (1996)

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Janine Connes and Pierre Connes
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