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• W2406608416 abstract "Independent component analysis (ICA) by an information measure has seen wide applications in engineering. Different from traditional probability density function based information measures, a probability survival distribution based Cauchy-Schwartz information measure for multiple variables is proposed in this paper. Empirical estimation of survival distribution is parameter-free which is inherited by the estimation of the new information measure. This measure is proved to be a valid statistical independence measure and is adopted as an objective function to develop an ICA algorithm which is validated by an experiment. This work shows promising potential regarding the use of survival distribution based information measure for ICA." @default.
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• W2406608416 date "2016-03-01" @default.
• W2406608416 modified "2023-09-22" @default.
• W2406608416 title "A parameter-free Cauchy-Schwartz information measure for independent component analysis" @default.
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• W2406608416 doi "https://doi.org/10.1109/icassp.2016.7472132" @default.
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