小波消噪与二维相关红外光谱的质量优化

Wavelet Denoising and Optimization of Two-Dimensional Correlation IR Spectroscopy

采用小波变换消噪技术首次应用到中药二维相关红外光谱的数据处理中。结果表明 ,经过消噪处理后 ,可以有效地去除噪声对二维相关红外光谱同步图的影响 ,优化谱图的质量。该技术的应用既增强了同步图中的信号峰 ,又分离了消噪前的重叠峰 ;不但提高了谱图的分辨率 ,而且还获得了更多的光谱信息。

Wavelet analysis and wavelet denoising was applied to analyse the data of two dimensional correlation IR spectroscopy of traditional Chinese medicine for the first time in this article. The results showed that; after denoising, the authors can decrease the interference to the synchronous spectra of two dimensional correlation IR spectroscopy effectively, and-tone up the signal peaks and separate the peaks which overlap together before denoising. In this way, the authors cannot only improve the: spectral revolution, but also get more spectral informations.