首页 | 本学科首页   官方微博 | 高级检索  
     

差分吸收光谱测量臭氧浓度信号去噪的实验研究
引用本文:郑海明,刘佳.差分吸收光谱测量臭氧浓度信号去噪的实验研究[J].计量学报,2020,41(6):759-764.
作者姓名:郑海明  刘佳
作者单位:华北电力大学 能源动力与机械工程学院, 河北 保定 071003
基金项目:国家自然科学基金;河北省自然科学基金;国家重点研发计划
摘    要:对差分吸收光谱测量臭氧浓度信号去噪进行了实验研究。首先利用常用的小波变换、Savitzky-Golay滤波和傅里叶变换滤波这3种方法对臭氧的吸收光谱分别进行去噪处理,得到各自去噪后的吸收光谱,发现小波变换与Savitzky-Golay滤波可以很好地拟合特征吸收,傅里叶变换滤波稍差;然后,利用信噪比与均方根误差对所得光谱进行分析评价。实验结果表明:Savitzky-Golay滤波对信号去噪的效果最好,可优先应用于臭氧的光谱计量分析。

关 键 词:计量学  臭氧浓度监测  差分吸收光谱  去噪  小波变换  Savitzky-Golay滤波  傅里叶变换滤波  
收稿时间:2018-09-17

Experimental Study on Denoising of Ozone Concentration Signal by Differential Absorption Spectroscopy
ZHENG Hai-ming,LIU Jia.Experimental Study on Denoising of Ozone Concentration Signal by Differential Absorption Spectroscopy[J].Acta Metrologica Sinica,2020,41(6):759-764.
Authors:ZHENG Hai-ming  LIU Jia
Affiliation:School of Energy Power and Mechanical Engineering, North China Electric Power University,Baoding, Hebei 071003,China
Abstract:An experimental study on denoising of ozone concentration signal measured by differential absorption spectroscopy was presented. Common denoising methods are wavelet transform, Savitzky-Golay filtering and Fourier transform filtering. Firstly, the three kinds of filtering methods were used to denoise the absorption spectra of ozone respectively, and the absorption spectra after denoising were obtained. It was found that the wavelet transform and Savitzky-Golay filter can fit the feature absorption well, and the Fourier transform filter was slightly worse. Then, the obtained spectrum was analyzed and evaluated by using the signal-to-noise ratio and the root mean square error. The experimental results showed that Savitzky-Golay filtering has the best effect on signal denoising and can be applied preferentially to the spectrometric analysis of ozone.
Keywords:metrology  ozone concentration monitoring  differential absorption spectroscopy  denoising  wavelet transform  Savitzky-Golay digital filtering  fourier transform filter  
本文献已被 万方数据 等数据库收录!
点击此处可从《计量学报》浏览原始摘要信息
点击此处可从《计量学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号