Detail publikace

Sparse and Cosparse Audio Dequantization Using Convex Optimization

ZÁVIŠKA, P. RAJMIC, P.

Originální název

Sparse and Cosparse Audio Dequantization Using Convex Optimization

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Quantizaiton; Dequantization; Sparsity; Cosparsity; Proximal splitting

Autoři

ZÁVIŠKA, P.; RAJMIC, P.

Vydáno

11. 8. 2020

Nakladatel

IEEE

Místo

Milan, Italy

ISBN

978-1-7281-6376-5

Kniha

Proceedings of the 2020 43rd International Conference on Telecommunications and Signal Processing (TSP)

Strany od

216

Strany do

220

Strany počet

5

URL

https://ieeexplore.ieee.org/document/9163566

BibTex

@inproceedings{BUT164024,
  author="Pavel {Záviška} and Pavel {Rajmic}",
  title="Sparse and Cosparse Audio Dequantization Using Convex Optimization",
  booktitle="
Proceedings of the 2020 43rd International Conference on Telecommunications and Signal Processing (TSP)",
  year="2020",
  pages="216--220",
  publisher="IEEE",
  address="Milan, Italy",
  doi="10.1109/TSP49548.2020.9163566",
  isbn="978-1-7281-6376-5",
  url="https://ieeexplore.ieee.org/document/9163566"
}