Compression of an Infrared Spectral Library by Karhunen-Loeve Transformation
Applied SpectroscopyPublished 1 January 1982
G. Hangac, Richard C. Wieboldt, R. Β. Lam, T. L. Isenhour
Citations38
SJR quartileQ2
SJR score0.46
SNIP0.88
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TL;DR
A data compression technique using factor analysis and the Karhunen-Loeve transformation has been applied to a library of vapor phase infrared spectra and results in a fivefold reduction in storage requirements and a corresponding reduction in search time.
Abstract
A data compression technique using factor analysis and the Karhunen-Loeve transformation has been applied to a library of vapor phase infrared spectra. Application of the compression algorithm results in a fivefold reduction in storage requirements for the spectral library and a corresponding reduction in search time. A search system based on the compression data has been evaluated and found to compare favorably with a search using the entire spectrum.
Keywords
ChemistryEngineering
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