Deepjscc-q: Channel input constrained deep joint source-channel coding

TY Tung, DB Kurka, M Jankowski… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
Recent works have shown that the task of wireless transmission of images can be learned
with the use of machine learning techniques. Very promising results in end-to-end image …
被引用次数：20 相关文章

DeepJSCC-Q: Channel Input Constrained Deep Joint Source-Channel Coding

TY Tung, D Burth Kurka, M Jankowski… - arXiv e …, 2021 - ui.adsabs.harvard.edu
Recent works have shown that the task of wireless transmission of images can be learned
with the use of machine learning techniques. Very promising results in end-to-end image …

DeepJSCC-Q: Channel Input Constrained Deep Joint Source-Channel Coding

TY Tung, DB Kurka, M Jankowski… - IEEE INTERNATIONAL …, 2022 - iris.unimore.it
Recent works have shown that the task of wireless transmission of images can be learned
with the use of machine learning techniques. Very promising results in end-to-end image …
[PDF] imperial.ac.uk

[PDF][PDF] DeepJSCC-Q: Channel Input Constrained Deep Joint Source-Channel Coding

TY Tung, DB Kurka, M Jankowski, D Gündüz - imperial.ac.uk
Recent works have shown that the task of wireless transmission of images can be learned
with the use of machine learning techniques. Very promising results in end-to-end image …

DeepJSCC-Q: Channel Input Constrained Deep Joint Source-Channel Coding

TY Tung, DB Kurka, M Jankowski, D Gündüz - arXiv preprint arXiv …, 2021 - arxiv.org
Recent works have shown that the task of wireless transmission of images can be learned
with the use of machine learning techniques. Very promising results in end-to-end image …
[PDF] unimore.it

[PDF][PDF] DeepJSCC-Q: Channel Input Constrained Deep Joint Source-Channel Coding

TY Tung, DB Kurka, M Jankowski, D Gündüz - iris.unimore.it
Recent works have shown that the task of wireless transmission of images can be learned
with the use of machine learning techniques. Very promising results in end-to-end image …