小波变换用于FTIR光谱定量分析  

Quantitative Analysis of FTIR Spectra with Wavelet Transform

作　　者：朱军[1] 柴晓冬[2] 

机构地区：[1]安徽大学电子科学与技术学院,安徽合肥230039 [2]上海工程技术大学轨道交通学院,上海201620

出　　处：《计算机技术与发展》2008年第11期197-199,203,共4页Computer Technology and Development

基　　金：国家自然科学基金资助项目(60171029);安徽大学人才队伍建设经费资助项目(02203105)

摘　　要：傅里叶变换光谱学已经用于环境气体的定量分析中,为了保证高灵敏、精确可靠的测量结果,需要对实测光谱进行预处理。将小波阈值滤波算法应用于气体红外光谱分析中,以实际测量得到的气体透过率光谱为处理对象,首先完成了单组分测量光谱的小波去噪;其次,实现了多组分实测光谱的小波去噪与定量分析;最终可以获得气体浓度等重要的光谱分析结果。算法实现结果表明该方法具有良好的应用前景。Fourier transform infrared spectroscopy has been employed in environmental gas quantitative analysis. In order to get high sensitivity and reliable results, the measured spectra should be preprocessed. In the paper, wavelet threshold filter algorithm is applied to gaseous infrared spectra analysis. The measured gas transmittance spectra are taken as processed object. Firstly, the spectra of single component are de - noised with wavelet transform. Secondly, the measured spectra of multiple - component are de- noisod and analyzed. Finally, the important results such as gas concentration can be acquired. The results show that the method is good for application.

关 键 词：FTIR光谱 小波变换 光谱分析 阈值滤波 

分 类 号：TN219[电子电信—物理电子学]