Low-rank decomposition for rate-adaptive deep joint source-channel coding

M Xu, CT Lam, Y Liang, B Ng… - 2022 IEEE 8th …, 2022 - ieeexplore.ieee.org
Deep joint source-channel coding (DJSCC) has received extensive attention in the
communications community. However, the high computational costs and storage …

[PDF][PDF] 基于深度学习的信源信道联合编码方法综述

穆天杰, 陈晓辉, 汪逸云, 马陆鹏, 刘东, 周晶… - 电信 …, 2020 - infocomm-journal.com
信息论的经典结果表明, 信源信道分离编码是渐进最优的. 但现代通信系统对时延,
带宽等愈发敏感, 分离设计对解码具有无限计算能力这一假设难以成立. 带宽有限时 …

Deep Joint Source-Channel Coding for Wireless Image Transmission with Entropy-Aware Adaptive Rate Control

W Chen, Y Chen, Q Yang, C Huang… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Adaptive rate control for deep joint source and channel coding (JSCC) is considered as an
effective approach to transmit sufficient information in scenarios with limited communication …

2 Deep Neural Networks for Joint Source-Channel Coding

DB Kurka, M Rao, N Farsad, D Gündüz… - Machine Learning and …, 2022 - cambridge.org
Digital communication systems typically entail separate steps for source coding and channel
coding. In source coding, the source signal, eg, text, image, or video, is mapped to a …

Study on Robustness of Deep Learning Against Physical Layer Impairments in Wireless Communication Systems

이슬람, 나즈물 - 2024 - oak.chosun.ac.kr
The rapid advancement of technology in recent years has led to the development of a vast
network of interconnected devices and systems known as the Internet of Things (IoT) …

Progressively refined scheme for wireless video sensor networks

H Yang, L Qing, J Yang, X He - Signal, Image and Video Processing, 2022 - Springer
Abstract In Wireless Video Sensor Networks (WVSNs), the performance of video coding is
typically influenced by the condition of wireless channels and the limited battery energy …