Application of wavelet packet transform in pattern recognition of near-IR data

被引：108

作者：

Walczak, B ^{[1
]}

vandenBogaert, B ^{[1
]}

Massart, DL ^{[1
]}

机构：

[1] FREE UNIV BRUSSELS,CHEMOAC PHARMACEUT INST,B-1090 BRUSSELS,BELGIUM

来源：

ANALYTICAL CHEMISTRY | 1996年 / 68卷 / 10期

关键词：

D O I：

10.1021/ac951091z

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

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.

引用

页码：1742 / 1747

页数：6

共 16 条

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