光学学报, 2017, 37 (6): 0630001, 网络出版: 2017-06-08   

基于EMD和数学形态学的多环芳烃光谱去噪

Denoising of Polycyclic Aromatic Hydrocarbons Spectra Based on EMD and Mathematical Morphology
作者单位
燕山大学河北省测试计量技术及仪器重点实验室, 河北 秦皇岛 066000
摘要
基于多环芳烃中苯并[k]荧蒽(BkF)的强荧光特性, 构建了荧光检测实验系统, 并制备了10个不同浓度的BkF甲醇溶液样品, 分析了样品荧光特性。为了更好地进行定性和定量分析, 采用经验模态分解(EMD)改进阈值法结合数学形态学对荧光光谱信号进行去噪处理, 并与EMD阈值去噪法进行对比。结果表明, 提出的方法使去噪后的荧光光谱更加平滑, 荧光强度与样品浓度的线性相关系数更高, 达到0.99746; 信噪比有所提高; 原始信号与去噪后信号的均方误差由0.0053降低至0.0012。提出的方法去噪效果显著, 有效地提高了光谱的分析精度, 为荧光光谱预处理提供了一种新方法。
Abstract
Based on the strong fluorescence property of polycyclic aromatic hydrocarbons benzo[k] fluoranthene (BkF), a fluorescence detection system is constructed and ten BkF methanol solution samples with different concentrations are prepared to analyze their fluorescence characteristics. In order to proceed qualitative and quantitative analyses well, the improved empirical mode decomposition (EMD) threshold method combined with mathematical morphology is applied to denoising the fluorescence spectrum, which is compared with the EMD threshold denoising method. The results show that the proposed method can smooth the denoised fluorescence spectra preferably, make the linear correlation coefficient between the fluorescence intensity and the sample concentration high and reach 0.99746, make the signal-to-noise ratio increase, and make the mean square error between the original signal and the denoised signal decrease from 0.0053 to 0.0012. The proposed method possesses a remarkable denoising effect, which effectively improves the analytical precision of spectra and provides a new method for preprocessing fluorescence spectra.

苑媛媛, 王书涛, 王玉田, 王志芳, 杨哲. 基于EMD和数学形态学的多环芳烃光谱去噪[J]. 光学学报, 2017, 37(6): 0630001. Yuan Yuanyuan, Wang Shutao, Wang Yutian, Wang Zhifang, Yang Zhe. Denoising of Polycyclic Aromatic Hydrocarbons Spectra Based on EMD and Mathematical Morphology[J]. Acta Optica Sinica, 2017, 37(6): 0630001.

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