Blind source separation using statistical nonnegative matrix factorization
Blind Source Separation (BSS) attempts to automatically extract and track a signal of interest in real world scenarios with other signals present. BSS addresses the problem of recovering the original signals from an observed mixture without relying on training knowledge. This research studied three...
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University of Newcastle upon Tyne
2015
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.677903 |