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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 in:Analytical chemistry (Washington) 1996-05, Vol.68 (10), p.1742-1747
Main Authors: Walczak, Beata, van den Bogaert, Bas, Massart, Desiré Luc
Format: Article
Language:English
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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.
ISSN:0003-2700
1520-6882
DOI:10.1021/ac951091z