Distributed Image Transmission Using Deep Joint Source-Channel Coding

Author:

Wang Sixian1,Yang Ke1,Dai Jincheng1,Niu Kai1

Affiliation:

1. Beijing University of Posts and Telecommunications,Beijing,China,100876

Funder

National Natural Science Foundation of China

Beijing Municipal Natural Science Foundation

Publisher

IEEE

Reference16 articles.

1. Wireless image transmission using deep source channel coding with attention modules;xu;IEEE Transactions on Circuits and Systems for Video Technology,2021

2. A Novel Deep Learning Architecture for Wireless Image Transmission

3. Distributed Source and Joint Source-Channel Coding: from Theory to Practice

4. High-fidelity generative image compression;mentzer;In Advances in Neural Information Processing Systems,2020

5. An image is worth 16x16 words: Transformers for image recognition at scale;dosovitskiy;Proceedings of International Conference on Learning Representations (ICLR),2020

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1. Deep Learning in Physical Layer: Review on Data Driven End-to-End Communication Systems and Their Enabling Semantic Applications;IEEE Open Journal of the Communications Society;2024

2. Communication-Efficient Framework for Distributed Image Semantic Wireless Transmission;IEEE Internet of Things Journal;2023-12-15

3. Deep Joint Source-Channel Coding for Image Transmission With Visual Protection;IEEE Transactions on Cognitive Communications and Networking;2023-12

4. Deep Joint Source-Channel Coding for Person Re-Identification With Related Image Sources;2023 IEEE 23rd International Conference on Communication Technology (ICCT);2023-10-20

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