An Extension to the Natural Gradient Algorithm for Robust Independent Component Analysis in the Presence of Outliers(Digital Signal Processing)
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概要
- 論文の詳細を見る
In this paper, we propose to employ an extension to the natural gradient algorithm for robust Independent Component Analysis against outliers. The standard natural gradient algorithm does not exhibit this property since it employs nonrobust sample estimates for computing higher order moments. In order to overcome this drawback, we propose to use robust alternatives to higher order moments, which are comparatively less sensitive to outliers in the observed data. Some computer simulations are presented to show that the proposed method, as compared to the standard natural gradient algorithm, gives better performance in the presence of outlying data.
- 社団法人電子情報通信学会の論文
- 2006-09-01
著者
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Tufail Muhammad
Graduate School Of Engineering Tohoku University
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Abe Masahide
Department Of Electronic Engineering Graduate School Of Engineering Tohoku University
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KAWAMATA Masayuki
Graduate School of Engineering, Tohoku University
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Kawamata Masayuki
Department Of Electronic Engineering Graduate School Of Engineering Tohoku University
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Kawamata Masayuki
Graduate School Of Engineering Tohoku University
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TUFAIL Muhammad
Department of Electronic Engineering, Tohoku University
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Tufail Muhammad
Department of Electrical Engineering, Pakistan Institute of Engineering and Applied Sciences
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