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小波变换去噪用于食用油脂酸价近红外光谱分析
引用本文:王立琦,张礼勇,王铭义. 小波变换去噪用于食用油脂酸价近红外光谱分析[J]. 光谱实验室, 2011, 28(2): 911-914
作者姓名:王立琦  张礼勇  王铭义
作者单位:哈尔滨理工大学测控技术与通信工程学院,哈尔滨市南岗区学府路52号,150086
基金项目:国家科技支撑计划,黑龙江省教育厅科学技术研究项目
摘    要:以三级大豆油脂酸价检测为研究对象,采用db4小波对36个油脂样品的近红外光谱进行预处理,选择出最佳的小波分解层数及阈值选取方式,并对原始光谱和经小波去噪后的光谱利用偏最小二乘回归建模,以决定系数、交互验证误差均方根和相对误差均值3个统计量来评价回归模型性能.结果表明原始光谱决定系数0.8668、交互验证误差均方根0.0...

关 键 词:油脂酸价  近红外光谱分析  db4小波  去噪

Application of Wavelet Transform Denoising in Near Infrared Spectral Analysis of Edible Oil Acid Value
WANG Li-Qi,ZHANG Li-Yong,WANG Ming-Yi. Application of Wavelet Transform Denoising in Near Infrared Spectral Analysis of Edible Oil Acid Value[J]. Chinese Journal of Spectroscopy Laboratory, 2011, 28(2): 911-914
Authors:WANG Li-Qi  ZHANG Li-Yong  WANG Ming-Yi
Affiliation:WANG Li-Qi ZHANG Li-Yong WANG Ming-Yi(School of Measurement-Control Technology and Communication Engineering,Harbin University of Science and Technology,Harbin 150086,P.R.China)
Abstract:The detection of third degree soybean oil acid value was used as research object,near infrared spectral datas of 36 oil samples were preprocessed by db4 wavelet,best wavelet decomposition layer and selection way of threshold were chose,then models of initial spectrum and wavelet denoised spectrum were constructed using partial least square regression,and the performances of models were evaluated by three statistics named decision coefficient r2,RMSECV and the mean of relative error,the r2,RMSECV and the mea...
Keywords:Oil Acid Value  Near Infrared Spectral Analysis  db4 Wavelet  Denoising  
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