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小波变换在近红外光谱分析中的应用进展
引用本文:田高友,袁洪福,刘慧颖,陆婉珍.小波变换在近红外光谱分析中的应用进展[J].光谱学与光谱分析,2003,23(6):1111-1114.
作者姓名:田高友  袁洪福  刘慧颖  陆婉珍
作者单位:1. 北京石油化工科学研究院一室,北京,100083
2. 北京油料研究所,北京,102300
基金项目:国家自然科学基金(20075035)
摘    要:小波变换(WT)具有很好的时频分离特征,信息处理能力强,已广泛用于分析化学领域;本文就小波变换在近红外光谱领域的应用进行简述。小波变换用于近红外预处理,提取有用信息,消除背景干扰,可以提高近红外的分析精度和模型稳健性;用于数据压缩可以减少数据库存储空间,提高建模速度;小波系数用于模型传递,具有传递速度快,稳健性强,所需标样少等特点;小波变换可以与神经网络、遗传算法等结合,在近红外分析领域呈现出良好的发展前景。

关 键 词:小波变换  近红外光谱  模型传递
文章编号:1000-0593(2003)06-1111-04
修稿时间:2002年9月18日

The Application of Wavelet Transform in Near Infrared Spectroscopy
TIAN Gao-you,YUAN Hong-fu,LIU Hui-ying,LU Wan-zhen Research Institute of Petroleum Processing,Beijing ,China Beijing POL Institute,Beijing ,China.The Application of Wavelet Transform in Near Infrared Spectroscopy[J].Spectroscopy and Spectral Analysis,2003,23(6):1111-1114.
Authors:TIAN Gao-you  YUAN Hong-fu  LIU Hui-ying  LU Wan-zhen Research Institute of Petroleum Processing  Beijing  China Beijing POL Institute  Beijing  China
Institution:TIAN Gao-you,YUAN Hong-fu,LIU Hui-ying,LU Wan-zhen Research Institute of Petroleum Processing,Beijing 100083,China Beijing POL Institute,Beijing 102300,China
Abstract:Wavelet transform (WT) has proven a powerful and efficient tool for dealing with chemical data due to its characteristic of dual localization and has been widely used in analytical chemistry. This paper reviews the application of wavelet transform in the field of near infrared spectroscopy, such as signal preprocessing, data compression and model transfer. The wavelet transform has shown great prospects in the signal preprocessing, and produces more robust model with little deviation. The standardization by transferring wavelet transform coefficients shows similar performance to the spectrum transfer case. In addition, it shows the possibility of using a smaller number of stable samples. The combination of wavelet transform and other chemometrics such as network and genetic analysis has shown great prospects in the NIR field.
Keywords:Wavelet transform  Near infrared spectroscopy  Model transfer
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