作　　者： ; ; ; ;

机构地区： 新疆大学信息科学与工程学院

出　　处： 《激光杂志》 2015年第12期71-73,共3页

摘　　要： 拉曼光谱已被广泛应用,但它常含有大量干扰信息,有时严重影响了样品的光谱特征。因此在光谱分析和处理中降噪显得极为重要。针对拉曼光谱的噪声特性,提出将最小均方(LMS)自适应滤波器应用于拉曼光谱的降噪处理。将该方法应用于信噪比(SNR)低于10d B的纯R6G拉曼光谱中,LMS自适应滤波器算法能充分保留有效信号的细节和包络,并与小波变换和集合经验模态分解(EEMD)算法一一对比分析。通过SNR、均方根误差(RMSE)和相关系数(ρ)这三个评价标准充分证明LMS自适应滤波器在拉曼光谱中的降噪优势。 Raman spectroscopy has been widely used,but which often contains a lot of noise,so the spectral characteristic of the sample is seriously affected. Therefore the de-noising is very important in the spectrum analysis and processing. In the study of Raman spectroscopy,the least mean square( LMS) adaptive filter was applied in the field firstly. LMS adaptive filter algorithm can reserve the detail and envelope of the effective signal when the method was applied to pure R6 G Raman spectra which signal-to-noise ratio( SNR) is lower than 10 d B,contrast and analysis the result with result of wavelet transform and ensemble empirical mode decomposition( EEMD). The three evaluation standards( SNR,root mean square error( RMSE) and the correlation coefficient( ρ)) fully proved de-noising advantages of LMS adaptive filter in Raman spectroscopy.

关 键 词： 拉曼光谱 自适应滤波器 降噪 小波

领　　域： [电子电信] [电子电信]