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Detail publikačního výsledku
ZÁVIŠKA, P.; RAJMIC, P.
Originální název
Sparse and Cosparse Audio Dequantization Using Convex Optimization
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
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.
Anglický abstrakt
Klíčová slova
Quantizaiton; Dequantization; Sparsity; Cosparsity; Proximal splitting
Klíčová slova v angličtině
Autoři
Rok RIV
2021
Vydáno
11.08.2020
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" }