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.

Analysis of optical near-field images by Karhunen–Loève transformation

Daniel Charraut, Daniel Courjon, Claudine Bainier, and Laurent Moulinier
Appl. Opt. 35(20) 3853-3861 (1996)

Handwriting synthesis and classification by means of space-variant transform and Karhunen–Loève analysis

J. Duvernoy
J. Opt. Soc. Am. 65(11) 1331-1336 (1975)

Hilbert-space Karhunen–Loève transform with application to image analysis

A. Levy and J. Rubinstein
J. Opt. Soc. Am. A 16(1) 28-35 (1999)

Optical pattern recognition and clustering: Karhunen-Loève analysis

J. Duvernoy
Appl. Opt. 15(6) 1584-1590 (1976)

Surface classification by an optoelectronic implementation of the Karhunen–Loève expansion

C. Gorecki
Appl. Opt. 30(31) 4548-4553 (1991)