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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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Published in: | Analytical chemistry (Washington) 1996-05, Vol.68 (10), p.1742-1747 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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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. |
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ISSN: | 0003-2700 1520-6882 |
DOI: | 10.1021/ac951091z |