# Dequantization of a signal from two parallel quantized observations

arXiv: https://arxiv.org/abs/2409.08071 · HTML: https://mlsanity.com/paper/2409.08071/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 23 references that are in the map.
- First posted on arXiv 12 Sep 2024.

## Builds on (most cited first, 3 of 3)

- [Audio Dequantization for High Fidelity Audio Generation in Flow-based Neural Vocoder](https://mlsanity.com/paper/2008.06867/) (2020)
- [Sparse Recovery and Dictionary Learning from Nonlinear Compressive Measurements](https://mlsanity.com/paper/1809.09639/) (2018)
- [Audio Dequantization Using (Co)Sparse (Non)Convex Methods](https://mlsanity.com/paper/2010.16386/) (2020)

## Abstract (arXiv)

We propose a technique of signal acquisition using a combination of two devices with different sampling rates and quantization accuracies. Subsequent processing involving sparsity regularization enables us to reconstruct the signal at such a sampling frequency and with such a bit depth that was not possible using the two devices independently. Objective and subjective tests show the superiority of the proposed method in comparison with alternatives.