Progress and effect of spectral data pretreatment in NIR analytical technique
Progress and effect of spectral data pretreatment in NIR analytical technique
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发表时间：
2008
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通讯作者：
Ni Zhen;Hu Chang-qin;F. Fang
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作者：
Ni Zhen;Hu Chang-qin;F. Fang
近红外光谱数据的预处理是近红外光谱模式识别、校正传递和定量校正模型建立的关键步骤，本文综述了近红外光谱数据预处理的各种方法，介绍了典型的和常用的光谱数据预处理方法，并比较了平滑法的优缺点。本文介绍了近红外光谱分析中常用的几种方法，如小波变换（WT）、正交信号校正（OSC）等，并对这些方法的算法和在近红外光谱分析中的应用进行了讨论。
Pretreatment of near-infrared spectra to remove unwanted is considered to be a crucial step for the pat- tern recognition,calibration transfer and construction of a quantitative calibration model.It is intended to provide an overview of the different methods for spectral data pretreatment.In the paper,the typical and commonly used pre- treatment methods are described and compared the advantage with the disadvantage of smoothing,multiplicaive seater correction(MSC) and standard normal variate correction(SNV),etc.Some newly developed methods such as wavelet transform (WT),orthogonal signal correction (OSC)methods are introduced in detail.The algorithms and ap- plications of those methods in NIR analysis are given and discussed.