| 光谱学与光谱分析 |
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| Research on the Method of Eliminating Noise and Background in the Meantime in Detecting Ethanol Contention Based on Raman Spectra |
| HAN Qing-yang, ZHOU Peng-ji |
| Photoelectric Technology Research and Development Center, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China |
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Abstract In the process of detecting ethanol content by Raman spectra, the precision of correction model prediction is affected by noise and baseline drift, which is caused by the spectral fluorescence and sample pool’s background. Use ensemble empirical mode decomposition to decompose spectrum into several intrinsic mode functions, which are without aliasing. The permutation entropy is employed to judge the intrinsic mode functions. Set the intrinsic mode functions which are on behalf of noise and background to zero, and then the signal is without noise and background. In this paper combine ensemble empirical mode decomposition and permutation entropy, and apply to the Raman spectrum, which are used to detect ethanol content. At the same time compare with wavelet transform and average smoothing filter. The experimental result shows that the application of empirical mode decomposition and permutation entropy can effectively eliminate the noise and background. The precision of correction model prediction is improved. This method simply employs and doesn’t need to set parameters, which has great value of application in the process of detecting ethanol content by Raman spectra.
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Received: 2014-10-23
Accepted: 2015-02-04
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Corresponding Authors:
HAN Qing-yang
E-mail: lanbohesky@126.com
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[1] WU Bin, LUO Xiao-sen, LU Jian, et al(吴 斌，骆晓森，陆 建，等). Optics and Precision Engineering(光学精密工程), 2011, 19(2): 392.
[2] WANG Xin, FAN Xian-guang, XU Ying-jie, et al(王 昕，范贤光，许英杰，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2014, 34(8): 2118-2121.
[3] FANG Cheng-xuan, LI Jian-hua, LIANG Yi-zeng(房承宣，李建华，梁逸曾). Journal of Instrumental Analysis(分析测试学报), 2012, 31(5): 541.
[4] ZHENG De-jin, CHENG Jun-sheng, YANG Yu(郑德近，程军圣，杨 宇). Journal of Vibration and Shock(振动与冲击), 2013, 32(21): 22.
[5] FENG Fu-zhou, RAO Guo-qiang, SI Ai-wei, et al(冯辅周，饶国强，司爱威，等). Journal of Vibration Engineering(振动工程学报), 2012, 25(2): 221.
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