Sparse and Cosparse Audio Dequantization Using Convex Optimization

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU136511" target="_blank" >RIV/00216305:26220/20:PU136511 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9163566" target="_blank" >https://ieeexplore.ieee.org/document/9163566</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP49548.2020.9163566" target="_blank" >10.1109/TSP49548.2020.9163566</a>

Result language
angličtina
Original language name
Sparse and Cosparse Audio Dequantization Using Convex Optimization
Original language description
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.
Czech name
—
Czech description
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Project
<a href="/en/project/GA20-29009S" target="_blank" >GA20-29009S: Perceptually motivated restoration of highly degraded audio signals</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2020 43rd International Conference on Telecommunications and Signal Processing (TSP)
ISBN
978-1-7281-6376-5
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
216-220
Publisher name
IEEE
Place of publication
Milan, Italy
Event location
Milan, Italy
Event date
Jul 7, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000577106400047

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