Journal of South China University of Technology (Natural Science Edition) ›› 2011, Vol. 39 ›› Issue (4): 66-69.doi: 10.3969/j.issn.1000-565X.2011.04.012

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

A Denoising Method of Monitoring Information Under Strong Noise

Jiang Xian-hai  Xie Cun-xi  Zou Yan-biao   

  1. School of Mechanical and Automotive Engineering，South China University of Technology，Guangzhou 510640，Guangdong，China
  • Received:2010-08-09 Revised:2010-12-01 Online:2011-04-25 Published:2011-03-01
  • Contact: 蒋贤海(1979-)，男，博士生，广东水利电力职业技术学院讲师，主要从事智能健康监护、机器人理论及其工程应用研究 E-mail:xh.j@mail.scut.edu.cn
  • About author:蒋贤海(1979-)，男，博士生，广东水利电力职业技术学院讲师，主要从事智能健康监护、机器人理论及其工程应用研究
  • Supported by:

    广东省科技攻关项目(2007B010400049)；粤港关键领域重点突破项目(20090101—1)

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Abstract:

In order to improve the accuracy of information prediction for monitoring systems,a denoising method of monitoring information under strong noise is proposed.In this method,the characteristics of wavelet coefficients of both the monitoring information and the noise are analyzed based on the wavelet transform,and the Hampel filtering is adopted to process the wavelet transform coefficients.Then,an inverse wavelet transform is performed to denoise the processed signals.An experiment is finally carried out on PhysioNet database,which verifies the effectiveness of the proposed denoising method.

Key words: Monitoring information, wavelet transform, Hampel filter, de-noising method