高等学校化学学报 ›› 1998, Vol. 19 ›› Issue (2): 193.

• 论文 • 上一篇    下一篇

样条小波和Fourier变换联用技术在分析化学中的应用

鲍伦军, 莫金垣, 唐祖英   

  1. 中山大学化学系, 广州, 510275
  • 收稿日期:1997-01-22 出版日期:1998-02-24 发布日期:1998-02-24
  • 通讯作者: 莫金垣
  • 作者简介:鲍伦军,男,30岁,博士研究生.
  • 基金资助:

    国家自然科学基金资助课题(29675033).

The Application of Spline Wavelet and Fourier Transformation in Analytical Chemistry

BAO Lun-Jun, MO Jin-Yuan, TANG Zu-Ying   

  1. Department of Chemistry, Zhongshan University, Guangzhou, 510275
  • Received:1997-01-22 Online:1998-02-24 Published:1998-02-24

摘要: 探讨了样条小波和Fourier变换方法的算法及应用特征,将两种方法联合使用,设计出了一种新型的数字滤波器,使两种方法互相取长补短,使各自的优势能得到充分发挥.优选了处理低信噪比分析化学信号的滤波参数.不仅能使结果峰形高度保真,克服样条小波分析方法的不足,而且可对高噪声信号进行处理.

关键词: 样条小波, Fourier变换, 联用, 处理数据

Abstract: The wavelet analysis is an effective technique for processing data. Because the system quantization error of digital filter, algorithm and other elements easily create the offset of peak position especially in processing gradual change signal. In this paper, we have discussed the advantages and disadvantages of spline wavelet and Fourier transformation methods, designed the combined algorithm of these two methods, optimized the parameters and used this method successfully to process signal with high noise, even whose S/N is 0.1. Experimental data were processed by the proposed method and satisfactory results were obtained.

Key words: Spline wavelet, Fourier transformation, Combined, Processing signal

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