基于EEMD的中药三维荧光光谱去噪方法研究

详细信息    查看全文 | 推荐本文 |

英文篇名：Research on denoising method of three dimensional fluorescence spectrum of traditional Chinese medicine based on EEMD 作者：樊凤杰 ; 轩凤来 ; 白洋 ; 高儒帅 英文作者：Fan Fengjie;Xuan Fenglai;Bai Yang;Gao Rushuai;Department of Biomedical Engineering,College of Electrical Engineering,Yanshan University;Department of Automation,College of Electrical Engineering,Yanshan University; 关键词：三维荧光光谱 ; 经验模态分解(EMD) ; 集合经验模态分解(EEMD) ; 小波分解 ; 光谱去噪 ; 中药 英文关键词：three dimensional fluorescence spectroscopy;;empirical mode decomposition(EMD);;ensemble empirical mode decomposition(EEMD);;wavelet decomposition;;spectral denoising;;traditional Chinese medicine 中文刊名：GJSX 英文刊名：Chinese High Technology Letters 机构：燕山大学电气工程学院生物医学工程系;燕山大学电气工程学院自动化系; 出版日期：2019-01-15 出版单位：高技术通讯 年：2019 期：v.29;No.337 基金：国家自然科学基金(61201111);; 燕山大学博士基金(BL17026)资助项目 语种：中文; 页：GJSX201901011 页数：7 CN：01 ISSN：11-2770/N 分类号：82-88

摘要

针对中药三维荧光光谱信号特征提取中的噪声问题,基于集合经验模态分解(EEMD)的去噪原理,对中药溶液的三维荧光光谱信号进行去噪研究。利用相关系数和箱线图筛选固有模态分量(IMF),将筛选后的IMF进行重构得到去噪后的数据。并探讨了EEMD分解时添加的高斯白噪声的幅值及设定相关系数的大小对去噪效果的影响。结果显示,当高斯白噪声的幅值为原信号标准差的0. 2倍,相关系数大于0. 5筛选IMF分量时,EEMD方法能很好地消除中药白术溶液三维荧光光谱信号中的噪声。进一步将该方法与经验模态分解(EMD)及小波去噪方法进行比较,结果表明,EEMD方法对中药溶液三维荧光光谱数据去噪效果优于EMD及小波去噪方法。
        Based on the denoising principle of ensemble empirical mode decomposition( EEMD),the three-dimensional fluorescence spectrum signal of traditional Chinese medicine solution is denoised. The intrinsic mode function( IMF) is filtered by correlation coefficient and box diagram,and the filtered IMF is reconstructed to get the data after denoising. The influence of the amplitude of Gauss white noise added by EEMD decomposition and the setting correlation coefficient on the denoising effect are also discussed. The results show that when the amplitude of Gauss white noise is 0. 2 times that of the original signal standard deviation and the correlation coefficient is greater than0. 5 to screen the IMF component,the EEMD method can effectively eliminate the noise in the three dimensional fluorescence spectrum signal of traditional Chinese medicine Atractylodes macrocephala. The method is compared with the method of empirical mode decomposition( EMD) and wavelet denoising. The results show that the denoising effect of EEMD method on the three-dimensional fluorescence spectrum data of traditional Chinese medicine solution is better than that of EMD and wavelet denoising.

引文

[1]崔建新,崔建凤,洪文学,等.基于多参数距离融合聚类原理建立中药标准指纹图谱的研究[J].高技术通讯,2014,24(1):99-103
    [2]王继国,雍克岚,陈旭,等.基于中药血竭光谱指纹图谱的模式识别研究[J].计算机与应用化学,2005,22(5):384-388
    [3]朱纯,谢心,赵金辰,等.六味地黄丸三维同步荧光光谱特性的研究[J].光谱学与光谱分析,2017,37(1):141-144
    [4]李兴旺,陈小康,徐永群.中药注射剂荧光光谱三维聚类图分析研究[J].光谱实验室,2007,24(6):1111-1114
    [5]闫立华,宋峰,韩娟,等.玄参汤剂的荧光光谱分析[J].光谱学与光谱分析,2008,28(8):1891-1894
    [6]杜建卫.基于小波变换的中药光谱图谱与色谱图谱分类特性研究[J].北京石油化工学院学报,2016,24(1):59-63
    [7]于邵慧.荧光光谱信号的去噪算法研究[J].合肥师范学院学报,2013,31(3):4-6
    [8]文莉,刘正士,葛运建.小波去噪的几种方法[J].合肥工业大学学报(自然科学版),2002,25(2):167-172
    [9]李慧,蔺启忠,王钦军,等.基于小波包变换和数学形态学结合的光谱去噪方法研究[J].光谱学与光谱分析,2010,30(3):644-648
    [10]郝欢,王华力,魏勤.经验模态分解理论及其应用[J].高技术通讯,2016,26(01):67-80
    [11] Wu Z H,Huang N E. Ensemble empirical mode decom-position:a noise a-ssisted data analysis method[J]. Ad-vances in Adaptive Data Analysis,2009,1(1):1-41
    [12]赵肖宇,方一鸣,王志刚,等. EEMD自适应去噪在拉曼光谱中的应用[J].光谱学与光谱分析,2013,33(12):3255-3258