Sparse approximation and dictionary learning with applications to audio signals
Over-complete transforms have recently become the focus of a wide wealth of research in signal processing, machine learning, statistics and related fields. Their great modelling flexibility allows to find sparse representations and approximations of data that in turn prove to be very efficient in a...
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Queen Mary, University of London
2013
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| Online Access: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664934 |