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Sparse and Cosparse Audio Dequantization Using Convex Optimization

2020-03-05 16:11:39
Pavel Záviška, Pavel Rajmic
arXiv_SD
       
Abstract

The paper shows the potential of sparsity-based methods in restoring quantized signals. Following up on the study of Brauer et. al. (IEEE ICASSP 2016), we significantly extend the range of the evaluation scenarios: we introduce the analysis (cosparse) model, we use more effective algorithms, we experiment with another time-frequency transform. The paper shows that the analysis-based model performs comparably to the synthesis-model, but the Gabor transform produces better results than the originally used cosine transform. Last but not least, we provide codes and data in a reproducible way.

Abstract (translated)

URL

https://arxiv.org/abs/2003.04222

PDF

https://arxiv.org/pdf/2003.04222.pdf

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