光谱学与光谱分析 |
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Denoising and Assessing Method of Additive Noise in the Ultraviolet Spectrum of SO2 in Flue Gas |
ZHOU Tao1, SUN Chang-ku1, LIU Bin1, ZHAO Yu-mei2 |
1. State Key Lab of Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072, China2. Tianjin Lanyu Technology Co., Ltd., Tianjin 300384, China |
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Abstract The problem of denoising and assessing method of the spectrum of SO2 in flue gas was studied based on DOAS. The denoising procedure of the additive noise in the spectrum was divided into two parts: reducing the additive noise and enhancing the useful signal. When obtaining the absorption feature of measured gas, a multi-resolution preprocessing method of original spectrum was adopted for denoising by DWT (discrete wavelet transform). The signal energy operators in different scales were used to choose the denoising threshold and separate the useful signal from the noise. On the other hand, because there was no sudden change in the spectra of flue gas in time series, the useful signal component was enhanced according to the signal time dependence. And the standard absorption cross section was used to build the ideal absorption spectrum with the measured gas temperature and pressure. This ideal spectrum was used as the desired signal instead of the original spectrum in the assessing method to modify the SNR (signal-noise ratio). There were two different environments to do the proof test-in the lab and at the scene. In the lab, SO2 was measured several times with the system using this method mentioned above. The average deviation was less than 1.5%, while the repeatability was less than 1%. And the short range experiment data were better than the large range. In the scene of a power plant whose concentration of flue gas had a large variation range, the maximum deviation of this method was 2.31% in the 18 groups of contrast data. The experimental results show that the denoising effect of the scene spectrum was better than that of the lab spectrum. This means that this method can improve the SNR of the spectrum effectively, which is seriously polluted by additive noise.
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Received: 2008-11-06
Accepted: 2009-02-08
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Corresponding Authors:
ZHOU Tao
E-mail: zhoutao_tom@hotmail.com
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[1] Platt U, Perner D, Patz H. J. Geophys Res, 1979, 84 (C10): 6329. [2] Hardin R W. Photonics Spectra, 1998, 4: 102. [3] ZHOU Bin, LIU Wen-qing, QI Feng, et al(周 斌,刘文清,齐 峰,等). Acta Physica Sinica(物理学报), 2001, 50(9): 1818. [4] XIE Pin-hua, LIU Wen-qing, ZHENG Zhao-hui, et al(谢品华,刘文清,郑朝晖,等). Acta Photonica Sinica(光子学报), 2000, 29(3): 271. [5] Lee Jeong Soon, Kuk Bong Jae, Kim Young J. Journal of the Korean Physical Society, 2002, 41(5): 693. [6] QI Feng, LIU Wen-qing, ZHANG Yu-jun, et al(齐 锋,刘文清,张玉钧,等). Acta Photonica Sinica(光子学报), 2003, 32(10): 1234. [7] Johan Mellqvist, Arne Rosen. J. Quant. Spectrosc. Radiat. Transfer, 1996, 56(2): 209. [8] ZHOU Bin, LIU Wen-qing, QI Feng, et al(周 斌,刘文清,齐 锋,等). Acta Optica Sinica(光学学报), 2002, 22(8): 957. [9] LI Su-wen, LIU Wen-qing, XIE Pin-hua, et al(李素文,刘文清,谢品华,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2007, 27(7): 1254. [10] Hausmann Martin, Brandenburger Uwe, Brauers Theo. Applied Optics, 1999, 38: 462. [11] QI Feng, LIU Wen-qing, ZHOU Bin, et al(齐 锋,刘文清,周 斌,等). Acta Optica Sinica(光学学报), 2002, 22(11): 1345. [12] LUO A-li(罗阿理). Pattern Recognition Methods in Automatic Technique for Astronomical Spectral Analysis(光谱自动分析技术中的模式识别方法研究). Beijing: The National Astronomical Observatories, Chinese Academy of Sciences(北京:中国科学院国家天文台), 2002. 24. [13] GAO Ling, REN Shou-xin(高 玲,任守信). Journal of Analytical Science(分析科学学报), 2004, 20(6): 607. [14] Messer Sheila R, Agzarian John, Abbot Derek. Microelectronics Journal, 2001, 32(12): 931. [15] HU Chang-hua, ZHANG Jun-bo, XIA Jun, et al(胡昌华,张军波,夏 军,等). System Analysis and Designation Based on Matlab—Wavelet Analysis(基于MATLAB的系统分析与设计—小波分析). Xi’an: Xidian University Press(西安:西安电子科技大学出版社), 1999. 12. [16] Sanker B, et al. Comput, Boil. Med., 1996, 26(1): 25. [17] Lü Rui-lan(吕瑞兰). Performance Analysis of Threshold Denoising Via Different Kinds of Mother Wavelets and Wavelet-Thresholding Denoising Method Based on Energy Cell(小波阈值去噪的性能分析及基于能量元的小波阈值去噪方法研究). Hangzhou: Zhejiang University Press(杭州:浙江大学出版社), 2003. 51. [18] ZHAO Rong-chun, ZHAO Zhong-ming(赵荣椿,赵忠明). Introduction of Digital Image Process(数字图像处理导论). Xi’an: Northwestern Polytechnical University Press(西安:西北工业大学出版社), 1995. 195. [19] TAO Bing-jie, WANG Jing-ru, ZHANG Qi-heng(陶冰洁,王敬儒,张启衡). Laser & Infrared(激光与红外), 2006, 36(3): 227.
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