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Fundamental Limitation of Semantic Communications: Neural Estimation for
  Rate-Distortion

Fundamental Limitation of Semantic Communications: Neural Estimation for Rate-Distortion

2 January 2024
Dongxu Li
Jianhao Huang
Chuan Huang
Xiaoqi Qin
Han Zhang
Ping Zhang
ArXivPDFHTML

Papers citing "Fundamental Limitation of Semantic Communications: Neural Estimation for Rate-Distortion"

3 / 3 papers shown
Title
An Indirect Rate-Distortion Characterization for Semantic Sources:
  General Model and the Case of Gaussian Observation
An Indirect Rate-Distortion Characterization for Semantic Sources: General Model and the Case of Gaussian Observation
Jiakun Liu
Shuo Shao
Wenyi Zhang
H. Vincent Poor
21
34
0
29 Jan 2022
Learning Task-Oriented Communication for Edge Inference: An Information
  Bottleneck Approach
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach
Jiawei Shao
Yuyi Mao
Jun Zhang
44
212
0
08 Feb 2021
An Introduction to Deep Learning for the Physical Layer
An Introduction to Deep Learning for the Physical Layer
Tim O'Shea
J. Hoydis
AI4CE
89
2,171
0
02 Feb 2017
1