基于小波的光谱信号基线校正和背景扣除  

Baseline correction and background elimination using wavelet transforms

作　　者：胡耀垓[1] 赵正予[1] 王刚[1] 

机构地区：[1]武汉大学电子信息学院,湖北武汉430079

出　　处：《华中科技大学学报（自然科学版）》2011年第6期36-40,共5页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(60701020);中央高校基本科研业务费专项资金资助项目(3103001)

摘　　要：提出一种基于小波多分辨分析的光谱信号基线校正和背景扣除算法,对原始光谱进行小波去噪,应用小波多分辨分析对基线/背景预扣除,并基于一阶导数进行峰形修正,得到符合实际的校正光谱.对叠加曲线背景和线性背景的模拟光谱数据进行模拟实验.结果显示:该算法可用于多种类型的基线/背景校正场合,无须分析样品成分的先验知识,无须选择合适的背景校正点,也无须背景信号分布的数学假设,可应用于各类谱图的基线校正和背景扣除中.On the basis of multi-resolution analysis, a new hybrid algorithm was proposed to eliminate the varying baseline correction or background of spectral signals, which is one of the main advantages provided by wavelet transform. The baseline/background has a low frequency. This method firstly split the signals into different frequency components, and then removes the varying low-frequency background. It is successfully applied to simulated spectra as an effective and practical tool for base- line correction and background elimination. Results show that it can handle all kinds of baseline/back- ground and low signal-to-background ratio spectra, and required no prior knowledge about the sample composition, no selection of suitable background correction points, and no mathematical assumption of the background distribution.

关 键 词：光谱 小波变换 多分辨分析 基线校正 背景扣除 去噪 

分 类 号：O657.3[理学—分析化学] O651[理学—化学]