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• W3096784181 abstract "The paper deals with the hitherto neglected topic of audio dequantization. It reviews the state-of-the-art sparsity-based approaches and proposes several new methods. Convex as well as non-convex approaches are included, and all the presented formulations come in both the synthesis and analysis variants. In the experiments the methods are evaluated using the signal-to-distortion ratio (SDR) and PEMO-Q, a perceptually motivated metric." @default.
• W3096784181 created "2020-11-09" @default.
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• W3096784181 date "2020-10-30" @default.
• W3096784181 modified "2023-09-23" @default.
• W3096784181 title "Audio Dequantization Using (Co)Sparse (Non)Convex Methods" @default.
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• W3096784181 hasPublicationYear "2020" @default.
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