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《Progress In Geophysics》 2003-01
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Independent component analysis and its testing application on seismic signal processing

LIU Xi wu 1,2 ,LIU Hong 1 ,LI You ming 1(Institute of Geology & Geophysics, Chinese Academy of Sciences, Beijing 100029, China)  
ICA is a novel statistical method developed recently, which is used to find a representation of the Non Gaussian multivariate data, so that each components of the vector are independent statistically, or as independent as possible. In many applications, the transformation aims to capture the basic structure in data, including features abstraction and signals separation. In this paper, we present the principal theory and fast algorithms, at the same time, realizing the FastICA and its slightly updating. On the base of analyzing the features of seismic signals, we do preliminary studies and try to apply ICA on seismic signal processing. Our works show the good perspective of ICA application on seismic signal processing.
【Fund】: 中国科学院知识创新工程项目 (KZCXL SW 18)资助 .
【CateGory Index】: P631.4
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