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Compression of an Infrared Spectral Library by Karhunen-Loeve Transformation

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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: Data compression; Factor analysis; Infrared; Search system

Document Type: Research Article

DOI: http://dx.doi.org/10.1366/0003702824638935

Affiliations: Department of Chemistry, University of North Carolina, Chapel Hill, North Carolina 27514

Publication date: January 1, 1982

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