摘要
将小波变换技术应用到Raman汽油辛烷值测定仪的数据预处理中,减弱荧光背景干扰和高频噪声,提高光谱数据的信噪比。实验结果表明,小波变换对汽油Raman光谱的数据预处理比二阶微分、背景趋势消除技术的预处理效果好,显著提高基于偏最小二乘方法建立的汽油辛烷值预测模型精度。
In order to reduce the fluorescence and improve the signal-noise ratio of Raman spectra in gasoline, wavelet transform is used in the spectra pre-processing for gasoline octane number analyzer. Experimental results show that the application of wavelet transform improves the prediction performance of partial least square model for gasoline octane number obviously, comparing with the regular pretreatment methods: second derivatives and de-trending.
出处
《化工自动化及仪表》
EI
CAS
北大核心
2004年第5期65-68,共4页
Control and Instruments in Chemical Industry
基金
国家高技术研究发展计划资助项目(2003AA412110)
关键词
小波变换
RAMAN光谱
偏最小二乘
汽油辛烷值
wavelet transform
Raman spectroscopy
partial least square
gasoline octane number
