[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 …

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 …

Channel Coding via Machine Learning

H Kim - Machine Learning and Wireless Communications, 2022 - books.google.com
Channel coding is one of the key elements in the physical layer communication system. The
role of channel coding is to introduce redundancy in a controlled manner so that the receiver …

[图书][B] Deep Learning for Channel Coding

Y Jiang - 2021 - search.proquest.com
Wireless Communication has become a critical backbone of the information economy in the
past few decades. In this rapidly improving telecommunications landscape, a crucial role is …

Distributed deep joint source-channel coding over a multiple access channel

SF Yilmaz, C Karamanlı… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
We consider distributed image transmission over a noisy multiple access channel (MAC)
using deep joint source-channel coding (DeepJSCC). It is known that Shannon's separation …

[引用][C] 通信系统中的信源—信道联合编(译) 码/调制

殷玮玮 - 东南大学博士论文, 南京, 2006 - 万方数据资源系统
无线通信和多媒体通信技术的发展改变了人类的生活, 下一代无线移动通信的目标是实现
无所不在的, 高速率, 高质量的多媒体移动传输. 然而无线信道中有限的带宽 …

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 …

[引用][C] 基于深度神经网络的端到端通信系统模型设计

韩笑 - 2021 - 西安电子科技大学

[引用][C] 信源信道联合编码算法的研究

魏萌 - 2014 - 哈尔滨: 哈尔滨理工大学

[引用][C] 基于深度学习的信道译码研究

李鹏威 - 2021 - 电子科技大学