Results 41 to 50 of about 123 (65)

Hierarchical Semantic Transmission and Lyapunov-Optimized Online Scheduling for the Internet of Vehicles. [PDF]

Sensors (Basel)
Jiang L, Guo Y, Zhang W, Wang P, Han S.
europepmc   +1 more source

Rate-Distortion-Perception Trade-Off in Information Theory, Generative Models, and Intelligent Communications. [PDF]

Entropy (Basel)
Niu X, Bai B, Guo N, Zhang W, Han W.
europepmc   +1 more source

Channel-Blind Joint Source-Channel Coding for Wireless Image Transmission. [PDF]

Sensors (Basel)
Yuan H, Xu W, Wang Y, Wang X.
europepmc   +1 more source

Semantic Communication Based on Slot Attention for MIMO Transmission in 6G Smart Factories. [PDF]

Sensors (Basel)
Chen N, Lin G, Jian R, Wang Y, Fu M, Wang J, Sun L, Li W, Urakami T, Okada M, Shen B, Wang Q, Yu C, Chen F, Shangguan X.   +14 more
europepmc   +1 more source

Semantic Communication for Intelligent Transmission and Recognition of High-Resolution Satellite Images in Satellite-to-Ground Systems. [PDF]

Entropy (Basel)
Liu J, Chen Q, Chen Y.
europepmc   +1 more source

A novel image semantic communication method via dynamic decision generation network and generative adversarial network. [PDF]

Sci Rep
Liu S, Peng Z, Yu Q, Duan L.
europepmc   +1 more source

A Multi-Scale Spatial-Temporal Network for Wireless Video Transmission

Deep joint source-channel coding (DeepJSCC) has shown promise in wireless transmission of text, speech, and images within the realm of semantic communication.
Huang, Danlan, Jiang, Ting, Zhang, Liang, Qi, Zhixin, Zhou, Xinyi   +4 more
core  

CLEAR: Channel Learning and Enhanced Adaptive Reconstruction for Semantic Communication in Complex Time-Varying Environments

To address the challenges of robust data transmission over complex time-varying channels, this paper introduces channel learning and enhanced adaptive reconstruction (CLEAR) strategy for semantic communications. CLEAR integrates deep joint source-channel
Wu, Shengliang, Jiang, Weiwei, Wang, Lingyun, Pan, Hongzhi, He, Xin, Zhu, Yujun   +5 more
core   +1 more source

무선 통신 시스템을 위한 전송률 적응형 벡터 양자화 기반의 심층 결합 소스-채널 코딩 연구

학위논문(박사) - 한국과학기술원 : 전기및전자공학부, 2025.2,[iv, 85 p. :]This thesis investigates advanced deep joint source-channel coding (DeepJSCC) and vector quantization methods to significantly improve efficiency, adaptability, and robustness in wireless communication ...
Seo, Jiwan
core  

DeepJSCC-1++: Robust and Bandwidth-Adaptive Wireless Image Transmission

, 2023
This paper presents a novel vision transformer (ViT) based deep joint source channel coding (DeepJSCC) scheme, dubbed DeepJSCC-l++, which can adapt to different target bandwidth ratios as well as channel signal-to-noise ratios (SNRs) using a single model.
Chenghong Bian, Yulin Shao, Deniz Gunduz
exaly   +2 more sources