| A New Denoising Technique for Capillary Electrophoresis Signals |
| |
| 作者姓名： | 王瑛 莫金垣 |
| |
| 作者单位： | SchoolofChemistryandChemicalEngineering,ZhongShanUniversity,Guangzhou,Guangdong510275,China |
| |
| 基金项目： | ProjectsupportedbytheNationalNaturalScienceFoundationofChina (No .2 9975 0 33)andtheNaturalScienceFoundationofGuang
dongProvince (No.980 340 ) |
| |
| 摘 要： | Capillary electrophoresis(CE) is a powerful analytical tool in chemistry,Thus,it is valuable to solve the denoising of CE signals.A new denoising method called MWDA which emplosy Mexican Hat wavelet is presented ,It is an efficient chemometrics technique and has been applied successfully in processing CE signals ,Useful information can be extractred even from signals of S/N=1 .After denoising,the peak positions are unchanged and the relative errors of peak height are less than 3%.
|
| 关 键 词： | 毛细管电泳 分析方法 噪声干扰 降噪技术 曲线拟合 |
A New Denoising Technique for Capillary Electrophoresis Signals |
| |
| Ying Wang,Jin‐Yuan Mo.A New Denoising Technique for Capillary Electrophoresis Signals[J].Chinese Journal of Chemistry,2002,20(8):715-717. |
| |
| Authors: | Ying Wang Jin‐Yuan Mo |
| |
| Abstract: | Capillary electrophoresis (CE) is a powerful analytical tool in chemistry. Thus, it is valuable to solve the denoising of CE signals. A new denoising method called MWDA which employs Mexican Hat wavelet is presented. It is an efficient chemometrics technique and has been applied successfully in processing CE signals. Useful information can be extracted even from signals of S/N =1. After denoising, the peak positions are unchanged and the relative errors of peak height are less than 3%. |
| |
| Keywords: | Mexican Hat wavelet denoising algorithm curve fitting denoising signal processing |
| 本文献已被 CNKI 维普 等数据库收录！ |
