物理化学学报 >> 2005, Vol. 21 >> Issue (09): 1017-1021.doi: 10.3866/PKU.WHXB20050915

研究论文 上一篇    下一篇

基于小波的恒电量瞬态响应信号的滤波处理

赵永韬; 王昱; 郭兴蓬   

  1. 华中科技大学化学系, 武汉 430074; 中船重工七二五所青岛分部, 海洋腐蚀与防护国家级重点实验室, 青岛 266071; 中国海洋大学电子系, 青岛 266071
  • 收稿日期:2005-01-05 修回日期:2005-03-28 发布日期:2005-09-15
  • 通讯作者: 赵永韬 E-mail:zhaoyt@sunrui.net

Wavelet Transform Based-analysis for Coulostatically Induced Transients Denoising

ZHAO Yong-tao CHEN dong-hua GUO xing-peng   

  1. Department of Chemistry, Huazhong University of Science and Technology, Wuhan 430074; State Key Laboratory for Marine Corrosion and Protection, Luoyang Ship Material Research Institute, Qingdao 266071; Department of Electronics, Ocean University of China, Qingdao 266071
  • Received:2005-01-05 Revised:2005-03-28 Published:2005-09-15
  • Contact: ZHAO Yong-tao E-mail:zhaoyt@sunrui.net

摘要: 利用小波变换的阈值法对恒电量响应信号进行滤波处理, 同时与传统的时域和频域的滤波方法进行分析比较, 并且讨论了小波变换的分解层数对恒电量响应信号滤波效果的影响. 结果表明, 利用小波变换可以在时域和频域同时对恒电量响应信号取得良好的去噪效果. 这不仅能提高时域曲线拟合的精度, 还大大地提高了恒电量频谱解析的可靠性. 在实际应用中, 小波变换的分解层数取5~7层可以收到满意的效果.

关键词: 恒电量, 小波变换, 滤波, 噪声, 频谱

Abstract: A method based on threshold to denoise coulostatic response signal in wavelet domain was presented. The results of this method were compared with data smoothing in time domain and classical low pass filtering in the Fourier domain. The choice of wavelet decomposition levels was also discussed in this work. By using wavelet transform, coulostatic signal extraction from noisy data could be done both in time and frequency domains. The precision of curve fitting in time domain and reliability of spectral analysis could be improved respectively by the proposed method. Practically, this method was effective when the decomposition levels were from 5 to 7.

Key words: Coulostatic, Wavelet transform, Signal processing, Noise, Impedance spectrum