| 基于小波变换的拉曼光谱去噪处理 |
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| 引用本文： | 陈晨,徐大海,程庆华.基于小波变换的拉曼光谱去噪处理[J].长江大学学报,2006(10). |
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| 作者姓名： | 陈晨 徐大海 程庆华 |
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| 作者单位： | 长江大学物理科学与技术学院 湖北荆州434023 |
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| 基金项目： | 湖北省教育厅重点项目(2004X052，D200612001) |
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| 摘 要： | 拉曼光谱分析中,噪声的存在严重影响光谱的准确性。利用小波变换在信号处理方面的优良特性,采用基于小波变换的信号去噪方法,对含噪的邻二甲苯拉曼光谱进行处理。选用平稳小波bior2·2处理了含噪的邻二甲苯拉曼光谱信号。结果表明,采用平稳小波bior2·2可以将信噪比由10dB提升到21·3588dB,而均方误差仅为0·0014,去噪效果明显。
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| 关 键 词： | 小波变换 拉曼光谱 去噪 bior小波 |
A De-Noising Technique for Raman Spectra Based on Wavelet Transform |
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| CHEN Chen,XU Da-hai,CHENG Qing-hua.A De-Noising Technique for Raman Spectra Based on Wavelet Transform[J].Journal of Yangtze University,2006(10). |
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| Authors: | CHEN Chen XU Da-hai CHENG Qing-hua |
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| Abstract: | Signals in Raman spectra analysis often have noise,which greatly influences the achievement of accurate analytical result.In de-noising of Raman Spectroscopy,wavelet is chosen to construct the de-noising function because of its excellent properties.In this paper,bior2.2 wavelet is adopted to remove the noise in the Raman spectra of o-xylene.It increases the SNR from 10dB to 21.3588dB,while the MSE is 0.0014.It eliminates noise obviously and the result is satisfying.This method can provide some bases for practical de-noising in Raman spectra. |
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| Keywords: | wavelet transform Raman spectra de-noising bior wavelet |
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