Audio Dequantization Using (Co)Sparse (Non)Convex Methods
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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. The experiments evaluate the methods using the signal-to-distortion ratio (SDR) and PEMO-Q, a perceptually motivated metric. The analysis variants of convex approaches turn out to give the best results.
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