Near infrared (NIR) spectra of wood samples are often confused by a series of noise,which greatly influences accurate analytical result. In order to improve analytical precision,the authors need to pretreat the spectrum data. Derivative can correct baseline and background effects,increasing the resolution ratio of the spectra. However,it also increases the noise at the same time. The present paper aims at using wavelet transform to eliminate the noise of the near infrared first derivative spectrum of wood w...
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