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Experimental Study on Denoising of Ozone Concentration Signal by Differential Absorption Spectroscopy |
ZHENG Hai-ming,LIU Jia |
School of Energy Power and Mechanical Engineering, North China Electric Power University,Baoding, Hebei 071003,China |
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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.
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Received: 17 September 2018
Published: 08 June 2020
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[1]王智化, 周俊虎, 魏林生, 等. 用臭氧氧化技术同时脱除锅炉烟气中NOx及SO2的试验研究 [J]. 中国电机工程学报, 2007, 27(11): 1-5.
Wang Z H, Zhou J H, Wei L S, et al. Experimental Research for the Simultaneous Removal of NOx and SO2 in Flue Gas by O3 [J]. Proceedings of the Cess, 2007, 27(11): 1-5.
[2]Stutz J, Platt U. Numerical analysis and estimation of the statistical error of differential optical absorption spectroscopy measurements with least-squares methods. [J]. Applied Optics, 1996, 35(30): 6041-6053.
[3]梅魏鹏, 余淼, 师翔, 等. 小波降噪技术在差分吸收光谱浓度检测中的应用[J]. 影像科学与光化学, 2014, 32(2): 191-199.
Mei W P, Yu M, Shi X, et al. Application of Wavelet Denoising Technology in Differential Absorption Spectral Concentration Detection [J]. Imaging Science and Photochemistry, 2014, 32 (2): 191-199.
[4]刘前林, 王立世, 黄新建. 运用傅里叶变换对差分吸收光谱的解析[J]. 光谱学与光谱分析, 2008, 28(5): 1076-1079.
Liu Q L, Wang L S, Hang X J. Using Fourier Transform to Analyse Differential Optical Absorption Spectrum [J]. Spectroscopy and Spectral Analysis, 2008, 28(5): 1076-1079.
[5]Hermans C, Vandaele A C, Fally S. Fourier transform measurements of SO2 absorption cross sections[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2009, 110 (9): 2115-2126.
[6]张磊, 潘泉, 张洪才, 等. 小波域滤波阈值参数C的选取 [J]. 电子学报, 2001, 29(3): 400-402.
Zhang L, Pan Q, Zhang H C, et al. On the Determination of Threshold in Threshold-based De-noising by Wavelet Transform [J]. Acta Electronica Sinica, 2001, 29(3): 400-402.
[7]邵理堂, 汤光华, 许传龙, 等. 利用小波变换消除颗粒物Mie散射对DOAS技术的影响 [J]. 东南大学学报(自然科学版), 2008, 38(3): 444-448.
Shao L T, Tang G H, Xu C L, et al. Eliminating Mie scattering influence of particles on DOAS technique using wavelet transform [J]. Journal of Southeast University (Natural Science Edition), 2008, 38(3): 444-448.
[8]黄宜军, 汪金友. 小波分析在微弱信号测量中的应用研究 [J]. 计量学报, 2007, 28(2): 163-166.
Huang Y J, Wang J Y. Application of Wavelet Threshold Denoising to Weak Signal Measurement [J]. Acta Metrologica Sinica, 2007, 28(2): 163-166.
[9]胡波. 在线光谱数据的滤波优化与TDLAS系统集成 [D]. 天津大学, 2010.
[10]孙勇, 景博, 覃征, 等. 基于小波分析的信噪分离方法研究 [J]. 计量学报, 2006, 27(2): 153-155.
Sun Y, Jing B, Qin Z, et al. The Signal De-noising Method Based on Wavelet Analysis [J]. Acta Metrologica Sinica, 2006, 27(2): 153-155.
[11]贾英新, 姚鹏辉, 庞增拴, 等. 小波变换-差分吸收光谱法在NO气体浓度反演过程中的研究 [J]. 河北省科学院学报, 2018, 35(1): 11-17.
Jia Y X, Yao P H, Pang Z S, et al. Study on wavelet transform in the process of NO concentration inversion [J]. Journal of the Hebei Academy of Sciences, 2018, 35(1): 11-17.
[12]李亢, 杨绍清. 基于Savitzky-Golay算法的图像平滑去噪[J]. 数据采集与处理, 2010, 25(S1): 72-74.
Li K, Yang S Q. Image Smooth Denoising Based on Savitzky-Golay Algorithm [J]. Journal of Data Acquisition & Processing, 2010, 25 (S1): 72-74. |
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