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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
【摘要】 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。
【Abstract】 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 can not only improve the spectral revolution, but also get more spectral informations.
【关键词】 小波变换;
消噪;
二维相关红外光谱;
分辨率;
【Key words】 Wavelet transform; Denoise; Two dimensional IR correlation; Resolution;
【Key words】 Wavelet transform; Denoise; Two dimensional IR correlation; Resolution;
【基金】 科技部“十五”重大科技攻关资助 ;“重大技术标准研究”专项“食品中药与天然产物有效成分检测技术研究”基金 (2 0 0 2BA90 6A2 9 4)资助
- 【文献出处】 光谱学与光谱分析 ,Spectroscopy and Spectral Analysis , 编辑部邮箱 ,2004年12期
- 【分类号】O657.3
- 【被引频次】10
- 【下载频次】259