Investigation on the skewness for independent component analysis
文献类型:期刊论文
作者 | Liu ZhiYong![]() ![]() |
刊名 | SCIENCE CHINA-INFORMATION SCIENCES
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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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