GAO Rong-qiang1, FAN Shi-fu1*, YAN Yan-lu2, ZHAO Li-li2
1. College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China 2. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
Abstract：Spectroscopic data of samples recorded by spectroscopic instruments are confused by a series of noises, and interferences, therefore the proper data preprocessing is the basis of the following spectroscopic calibration, model establishment and transference, which is very important for the achievement of accurate analytical results. This paper reports our research work, combined with NIR spectroscopic analyses of the protein contents of wheat, that is the preprocessing of NIR spectral data recorded for 66 different wheat samples by a NIR grating spectrophotometer and a NIR Fourier transform spectrometer, respectively. The preprocessing algorithm is wavelet transform with the Gaussian first and second order derivatives. Compared with the result of preprocessing by normal first order difference algorithm, the wavelet transform algorithm by Gaussian derivatives was proved to be very effective and applicable, the spectra were smoothed perfectly, noises were eliminated obviously, and the spectral sections, which include all useful information for spectral analyses, were displayed clearly. So, it is very beneficial to the following spectral calibration, model establishment and transference.
Key words：Near infrared spectra(NIRS);Preprocessing of NIRS;Wavelet transform
高荣强1，范世福1*，严衍禄2，赵丽丽2 . 近红外光谱的数据预处理研究[J]. 光谱学与光谱分析, 2004, 24(12): 1563-1565.
GAO Rong-qiang1, FAN Shi-fu1*, YAN Yan-lu2, ZHAO Li-li2 . Preprocessing of Near Infrared Spectroscopic Data . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2004, 24(12): 1563-1565.
