中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Investigation on the skewness for independent component analysis

文献类型:期刊论文

作者Liu ZhiYong; Qiao Hong
刊名SCIENCE CHINA-INFORMATION SCIENCES
出版日期2011-04-01
卷号54期号:4页码:849-860
关键词independent component analysis skewness kurtosis one-bit-matching theorem
英文摘要Skewness has received much less attention than kurtosis in the independent component analysis (ICA). In particular, the skewness seems to become a useless statistics after the kurtosis related one-bit-matching theorem was proven. However, as the non-Gaussianity of one signal comes mainly from skewness, it is intuitively understandable that its recovery should not rely on kurtosis. In this paper we discuss the skewness based ICA, and show that any probability density function (pdf) with non-zero skewness can be employed by ICA for the recovery of the source with non-zero skewness, without needing to consider the skewness sign. The observation together with the one-bit-matching theorem provides a basic guideline for the model pdf design in ICA algorithm.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Information Systems
研究领域[WOS]Computer Science
关键词[WOS]BLIND SOURCE SEPARATION ; LEARNING ALGORITHM ; ICA
收录类别SCI
语种英语
WOS记录号WOS:000289902100013
源URL[http://ir.ia.ac.cn/handle/173211/3013]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组
作者单位Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Liu ZhiYong,Qiao Hong. Investigation on the skewness for independent component analysis[J]. SCIENCE CHINA-INFORMATION SCIENCES,2011,54(4):849-860.
APA Liu ZhiYong,&Qiao Hong.(2011).Investigation on the skewness for independent component analysis.SCIENCE CHINA-INFORMATION SCIENCES,54(4),849-860.
MLA Liu ZhiYong,et al."Investigation on the skewness for independent component analysis".SCIENCE CHINA-INFORMATION SCIENCES 54.4(2011):849-860.

入库方式: OAI收割

来源:自动化研究所

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