Data analysis using a combination of independent component analysis and empirical mode decomposition

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题名:	Data analysis using a combination of independent component analysis and empirical mode decomposition
作者:	Lin,SL;Tung,PC;Huang,NE
贡献者:	機械工程研究所
关键词:	NONSTATIONARY TIME-SERIES;BLIND SEPARATION;ALGORITHM
日期:	2009
上传时间:	2010-06-29 18:01:31 (UTC+8)
出版者:	中央大學
摘要:	A combination of independent component analysis and empirical mode decomposition (ICA-EMD) is proposed in this paper to analyze low signal-to-noise ratio data. The advantages of ICA-EMD combination are these: ICA needs few sensory clues to separate the original source from unwanted noise and EMD can effectively separate the data into its constituting parts. The case studies reported here involve original sources contaminated by white Gaussian noise. The simulation results show that the ICA-EMD combination is an effective data analysis tool.
關聯:	PHYSICAL REVIEW E
显示于类别:	[機械工程研究所] 期刊論文

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