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- W2093313017 abstract "We propose a new entropy rate estimator for a second and/or higher-order correlated source by modeling it as the output of a linear filter, which can be mixed-phase, driven by Gaussian or non-Gaussian noise. Based on this estimator, we develop a new spatiotemporal blind source separation (BSS) algorithm, full BSS (FBSS), by minimizing the entropy rate of separated sources. FBSS provides more flexibilities in exploiting the temporal structures of sources than the state-of-the-art spatiotemporal BSS algorithms, which use AR models, and thus imply minimum-phase property of sources." @default.
- W2093313017 created "2016-06-24" @default.
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- W2093313017 date "2010-03-01" @default.
- W2093313017 modified "2023-10-16" @default.
- W2093313017 title "Blind spatiotemporal separation of second and/or higher-order correlated sources by entropy rate minimization" @default.
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- W2093313017 doi "https://doi.org/10.1109/icassp.2010.5495311" @default.
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