Application of Wavelet Packet Transform in Pattern Recognition of Near-IR Data

The wavelet packet transform is studied as a tool for improving pattern recognition based on near-infrared spectra. Application to the preprocessing of the spectra improves the classification when compared to using either the standard normal variate method or no pretreatment at all. Selecting featur...

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Bibliographic Details
Published inAnalytical chemistry (Washington) Vol. 68; no. 10; pp. 1742 - 1747
Main Authors Walczak, Beata, van den Bogaert, Bas, Massart, Desiré Luc
Format Journal Article
LanguageEnglish
Published Washington, DC American Chemical Society 15.05.1996
Subjects
Chemistry
Computers in experimental physics
Data analysis: algorithms and implementation; data management
Exact sciences and technology
Instruments, apparatus, components and techniques common to several branches of physics and astronomy
Physics
Wavelet transformation
Near infrared spectrum
Classification
Theoretical study
Data processing
Pattern recognition
Experimental study
Wave packets
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Summary:The wavelet packet transform is studied as a tool for improving pattern recognition based on near-infrared spectra. Application to the preprocessing of the spectra improves the classification when compared to using either the standard normal variate method or no pretreatment at all. Selecting features from a local discriminant basis instead of from a full decomposition does not improve the results.
Bibliography:ark:/67375/TPS-V89VCZTR-8
istex:8AEDBBC9FFEBF05706FE0D82817B403944DEB30D
Abstract published in Advance ACS Abstracts, April 1, 1996.
ISSN:0003-2700
1520-6882
DOI:10.1021/ac951091z