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《Journal of Vibration and Shock》 2012-08
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A new fast EMD algorithm for streaming data analysis

HU Li-ping,SONG En-liang,LI Bao-qing,YUAN Xiao-bing(Laboratory of Wireless Sensor Network,Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences,Shanghai 200050,China)  
A new fast empirical mode decomposition(EMD) algorithm was developed adopting moving mean averages of extrema with a combination of B splines and the local stopping criterion to estimate the symmetry of proto-mode function,it was suitable for streaming data analysis.Compared to classical EMD,both of time complexity and space complexity of the fast algorithm decreased markedly,but the decomposition precision retained.It was especially appropriate for streaming data analysis,such as,in occasion of war sensor networks,for its real time and continuous intrinsic mode functions acquired.
【Fund】: 国家科技重大专项(2009ZX03006-001-02)资助
【CateGory Index】: TN911.6
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【Citations】
Chinese Journal Full-text Database 3 Hits
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【Co-citations】
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1 DUAN Li-xiang1,ZHANG Lai-bin1,LI Gang1,WANG Fu-shan2,YIN Shu-gen2(1.College of Mechanical and Electronic Engineering,China University of Petroleum,Beijing 102249,China;2.Department of Equipment,Talimu Oilfield Company of China Petroleum,Kuerle 841000,China);Fault Diagnosis of Gas Supply System for Natural Gas Engine Based on EMD[J];Vehicle Engine;2010-01
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