期刊论文

Li Qing

中文

光谱学与光谱分析

1000-0593

2009

29

1

142-145

10.3964/j.issn.1000-0593(2009)01-0142-04

国家自然科学基金项目（10474027）资助；

本校为第一且通讯机构

经验模态分解(EMD)方法是一个以信号极值特征尺度为度量的时空滤波过程,它充分保留了信号本身的非线性和非平稳特征,在信号的滤波和去噪中具有较大的优势。文章在介绍EMD分解方法的基础上,结合EMD的多尺度滤波特性,提出了一种新的拉曼光谱去噪方法——EMD阈值去噪法。该方法首先对含噪的拉曼光谱信号做EMD分解,得到各阶本征模态函数(IMF),然后对高频的IMF分量用阈值法进行处理,把经过阈值处理后的高频IMF分量与低频IMF分量叠加得到重构的信号,即去噪信号。通过处理对二甲苯的拉曼光谱信号,分析了在不同噪声水平上不同去噪方法的处理效果。实验结果表明EMD阈值去噪法有效地去除了噪声,较好地保留...

The multiresolution empirical mode decomposition (EMD) is a new method of analyzing signal. It can be interpreted as a temporal and spatial filtering based on the extremum characteristic scale of the signal. This method can preserve the nonlinearity and non-stability of signal, and has potential superiority in filtering and denoising. In the present paper, a new denoising method of Raman spectra on the basis of empirical mode decomposition with multiresolution filtering is presented. First, Raman spectra polluted by the white noise is decomposed into several intrinsic mode function (IMF) compo...