高等学校化学学报

高等学校化学学报 ›› 2005, Vol. 26 ›› Issue (6): 1039.

• 研究论文 • 上一篇    下一篇

二维小波变换与子窗口因子分析法结合用于含噪声HPLC-DAD数据的解析

董林, 许禄   

  1. 中国科学院长春应用化学研究所, 长春130022
  • 收稿日期:2004-07-30 出版日期:2005-06-10 发布日期:2005-06-10
  • 通讯作者: 许　禄(1941年出生),男,研究员,博士生导师,从事计算化学研究.E-mail:luxu@ciac.jl.cn E-mail:luxu@ciac.jl.cn
  • 基金资助:

    国家自然科学基金(批准号:20375039)资助.

Resolution of Noisy HPLC-DAD Data by Two-dimensional Wavelet Transform and Subwindow Factor Analysis

DONG Lin, XU Lu   

  1. Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China
  • Received:2004-07-30 Online:2005-06-10 Published:2005-06-10

PDF (PC)

被引次数

13

摘要： 将二维小波变换与子窗口因子分析法相结合,用于模拟的高噪声HPLC-DAD数据的解析.首先应用二维小波变换滤除噪声,然后采用子窗口因子分析法解析重叠峰.结果表明,信噪比为10的高噪声基本被滤除掉.

关键词: 二维小波变换, 子窗口因子分析, 滤噪, 重叠峰的解析

Abstract: Integrated two-dimensional(2D) wavelet transform and subwindow factor analysis was used for the resolution of simulated HPLC-DAD data containing high level noise. At first, the 2D wavelet transform was performed for filtering the noise. Then, the subwindow factor analysis method was carried out for the resolution of the overlapping peaks. The results show that the noise can be filtered when S/N ratio is equal to 10.

Key words: Two-dimensional wavelet transform, Subwindow factor analysis, Noise filtering, Resolution of overlapping peaks

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