基于形状相似性比较法消除拉曼光谱的复杂背景噪声

Eliminating Complex Background Noise of Raman Spectrum Based on Configuration Similarity Comparing Method

受到复杂环境中多种背景噪声的干扰,拉曼信号的有效信息易被噪声削弱甚至淹没。利用拉曼信息光谱与背景光谱的形状相似性,通过形状相似性比较法去除背景噪声,结合实验数据介绍该方法的去噪原理与具体步骤。对比发现,该方法所恢复的拉曼信息量大,基线平整,便于后续数据处理。

The effective information of Raman spectrum is easy to be weakened or even submerged by the background noises in complex environment. The configuration similarity comparing method （CSCM）, which is based on the shape similarity of the information and the background spectrum, is proposed to eliminate the background noises. Exampled as experimental data, the CSCM principle is analyzed and the processing steps are introduced. By comparing with other two traditional methods, the CSCM recovers more Raman information and the baseline is flat, which is advantageous in further data analysis.