摘要
拉曼光谱的提取中,信号会受到多种背景噪声的干扰,使得拉曼光谱的有效信息被噪声削弱甚至淹没,因此在光谱分析和处理中光谱去噪是非常重要的一个环节。针对拉曼光谱的噪声特性,提出平滑滤波联合VS-LMS的去噪算法。平滑滤波虽然能够较好去除的拉曼光谱中的噪声,但在光谱的细节和波峰波谷部分仍有噪声残留,再使用VS-LMS对整体进行二次去噪,更好的还原光谱的细节部分。仿真结果表明,平滑滤波联合VS-LMS相比于传统的去噪算法,信噪比、均方根误差和相关系数均得到显著的提高。
In the extraction of Raman spectroscopy, the interference signal will be a variety of background noise, which makes the effective information of Raman spectra weakened or even submerged in noise. So the spectral donois- ing is very important in its analysis and processing. In view of the noise characteristic of the Raman spectrum, the de- noising algorithm of smoothing filter combined with VS-LMS is proposed. Although the noise smoothing filter can effec- tively remove the noise in Raman spectra, the spectrum still has residual noise in the details and the peaks and val- leys. Then, do the second denoising by VS-LMS to better restore the spectral details. The simulation results show that compared with the traditional denoising algorithm, the signal to noise ratio, root mean square error and correlation co- efficient are significantly improved.
出处
《激光杂志》
北大核心
2017年第5期145-149,共5页
Laser Journal
基金
国家自然科学基金项目(11264038)
新疆维吾尔自治区高技术研究发展项目计划资助(201412107)
关键词
拉曼光谱
去噪
LMS自适应滤波器
平滑滤波联合VS-LMS算法
raman spectroscopy
de-noising
least mean suqare adaptive filter
smoothing filter conbined with VS-LMS algorithm
