# Audio Dequantization Using (Co)Sparse (Non)Convex Methods

arXiv: https://arxiv.org/abs/2010.16386 · HTML: https://mlsanity.com/paper/2010.16386/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Oct 2020.

## Built on by (most cited first, 1 of 1)

- [Dequantization of a signal from two parallel quantized observations](https://mlsanity.com/paper/2409.08071/) (2024)

## Abstract (arXiv)

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.