Electronics, Communication & Automation Technology

A Denoising Method of Monitoring Information Under Strong Noise

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  • School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China
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

Received date: 2010-08-09

  Revised date: 2010-12-01

  Online published: 2011-03-01

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)

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.

Cite this article

Jiang Xian-hai Xie Cun-xi Zou Yan-biao . A Denoising Method of Monitoring Information Under Strong Noise[J]. Journal of South China University of Technology(Natural Science), 2011 , 39(4) : 66 -69 . DOI: 10.3969/j.issn.1000-565X.2011.04.012

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