高等学校化学学报 ›› 1998, Vol. 19 ›› Issue (4): 547.

• 研究简报 • 上一篇    下一篇

小波变换用于示波信号中有用信息提取的研究

仲红波1, 郑建斌1, 潘忠孝2, 张懋森2, 高鸿1   

  1. 1. 西北大学电分析化学研究所, 西安, 710069;
    2. 中国科学技术大学化学物理系, 合肥, 230026
  • 收稿日期:1997-03-18 出版日期:1998-04-24 发布日期:1998-04-24
  • 通讯作者: 郑建斌
  • 作者简介:仲红波,男,26岁,硕士.
  • 基金资助:

    国家自然科学基金;陕西省教委基金

Investigation on Application of Wavelet Transform in Recovering Useful Information from Oscillographic Signal

ZHONG Hong-Bo1, ZHENG Jian-Bin1, PAN Zhong-Xiao2, ZHANG Mao-Sen2, GAO Hong1   

  1. 1. Institute of Electroanalitical Chemistry, Northwest University, Xian, 710069;
    2. Departmentof Chemical Physics, University of Scienceand Technology of China, Hefei, 230026
  • Received:1997-03-18 Online:1998-04-24 Published:1998-04-24

关键词: 小波变换, 信号处理方法, 示波分析

Abstract: Application of wavelet transform in recovering useful information from different kinds of oscillographic chronopotentiometric signal was studied in this paper. Effects of the transform frequency, white noise and kinds of wavelet function and the oscillographic signal on the transform results are discussed. In above-mentioned factor, the noise and the transform frequency are two main factors of the influence. Experimental result for the former indicated that for the noise and favorable peak shape a signa-to-noise ratio of 3 can be tolerated at the 5% error level, which means that a significant reduction in the detection limit can be obtained in comparison with the classical signal-processing methods. And the findings of the latter showed that peak height caused by depolarizer depends on decomposition frequency for the signal, and the optimum choice of this frequency, in turn, depends on kinds of the signal. For dE /dt-t signal, three frequency of the transform can obtain the best peak shape and the largest peak height. Thus, compared with Fourier transform, it is easy to recover useful information from the oscillographic signal with noise and background signal caused by base solution.

Key words: Wavelet transform, Signal processing methods, Oscillographic analysis

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