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《Journal of Beijing University of Technology》 2007-03
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A Study of Wavelet Threshold Denoising Based on Empirical Mode Decomposition(EMD)

DU Xiu-li~1 HE Li-zhi~1 HOU Wei~2 (1.The Key Laboratory of Urban Security and Disaster Engineering(Beijing University of Technology),Ministry of Edueation,Beijing 100022,China; 2.Ordnance Industry Institute of Geotechnical Survey & Design,Beijing 100053,China)  
Based on empirical mode decomposition,a wavelet threshold denoising method is presented to solve the signal denoising problem of low signal-to-noise ratio.By contrast with wavelet threshold denoising,the experimental results proved that this method is very efficient and stable in denoising when the signal to noise ratio is rather low.Furthermore,a new way of studying the dynamical signal from structure under environ- mental pulsating loads is proposed.
【Fund】: 国家自然科学基金(50278006);; 北京市教育委员会科学技术与研究生建设项目资助(50325826)
【CateGory Index】: TB11
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