Sparse analysis model based dictionary learning and signal reconstruction
Sparse representation has been studied extensively in the past decade in a variety of applications, such as denoising, source separation and classification. Earlier effort has been focused on the well-known synthesis model, where a signal is decomposed as a linear combination of a few atoms of a dic...
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University of Surrey
2016
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.690426 |