The wavelet packet transform is studied as a tool for improving patter
n recognition based on near-infrared spectra. Application to the prepr
ocessing of the spectra improves the classification when compared to u
sing either the standard normal variate method or no pretreatment at a
ll. Selecting features from a local discriminant basis instead of from
a full decomposition does not improve the results.