论文标题
使用（CO）稀疏（非）凸方法的音频去量化
Audio Dequantization Using (Co)Sparse (Non)Convex Methods
论文作者
论文摘要
该论文涉及迄今为止被忽视的音频解放主题。它回顾了基于稀疏的最新方法，并提出了几种新方法。包括凸面和非凸方法，所有提出的配方都均在合成和分析变体中。在实验中，使用信噪比（SDR）和Pemo-Q评估方法，这是一种感知动机的度量。
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.
