Results 31 to 40 of about 123 (65)

Transformer-aided Wireless Image Transmission with Channel Feedback [PDF]

This paper presents a novel wireless image transmission paradigm that can exploit feedback from the receiver, called DeepJSCC-ViT-f. We consider a block feedback channel model, where the transmitter receives noiseless/noisy channel output feedback after ...
Gündüz, Deniz, Shao, Yulin, Wu, Haotian, Mikolajczyk, Krystian, Ozfatura, Emre   +4 more
core   +1 more source

Wireless semantic image transmission system based on deep flexible coding strategy and performance prediction

Tongxin xuebao
To improve adaptivity and coding flexibility for diverse image content under complex and dynamic wireless channel conditions, a deeply flexible joint source-channel coding (DF-JSCC) scheme and a transmission performance prediction network (PreNet) for ...
YANG Shuhan, SHEN Bin, HUANG Xiaoge
doaj  

Semantics-guided diffusion for deep joint source-channel coding in wireless image transmission

Joint source-channel coding (JSCC) offers a promising avenue for enhancing transmission efficiency by jointly incorporating source and channel statistics into the system design.
Jin, Richeng, Gündüz, Deniz, Zhu, Guangxu, Zhang, Maojun, Wu, Haotian, Chen, Xiaoming   +5 more
core   +1 more source

CommIN: semantic image communications as an inverse problem with INN-guided diffusion models

Joint source-channel coding schemes based on deep neural networks (DeepJSCC) have recently achieved remarkable performance for wireless image transmission.
You, Di, Gündüz, Deniz, Chen, Jiakang, Dragotti, Pier Luigi   +3 more
core   +1 more source

Deep joint source-channel coding for semantic communication

The evolution of artificial intelligence applications has exponentially increased the demand for efficient and low-latency transmission of large data volumes, posing significant challenges to conventional wireless communication systems.
Wu, Haotian
core   +1 more source

Generatiiviset diffuusiomallit tehokkaaseen langattomaan kuvien semanttiseen viestintään

In practical wireless systems, bandwidth and channel conditions are often poor. Transmitting images under these constraints is particularly demanding, as the reconstructed image must remain accurate at the pixel level while also preserving meaningful ...
Emon, Arnab Sarker
core  

Deep joint source-channel coding for vision-based inference at the wireless edge

Vision-based inference systems have recently reached super-human levels thanks to significant progress in deep learning algorithms. However, application of these algorithms on edge devices is challenging due to their limited computational power and ...
Jankowski, Mikolaj
core   +1 more source

DeepGuard: Defending Deep Joint Source-Channel Coding Against Eavesdropping at Physical-Layer

Deep joint source-channel coding (DeepJSCC) has emerged as a promising paradigm for efficient and robust information transmission. However, its intrinsic characteristics also pose new security challenges, notably an increased vulnerability to ...
Luo, Jun, Yang, Qianqian, Chen, Jiming, Chi, Kaiyi, He, Yinghui, Wang, Zhiqin, Shu, Yuanchao   +6 more
core   +1 more source

Channel-Adaptive Wireless Image Semantic Transmission with Learnable Prompts

Recent developments in Deep learning based Joint Source-Channel Coding (DeepJSCC) have demonstrated impressive capabilities within wireless semantic communications system.
Huang, Danlan, Zhang, Liang, Ding, Feng, Wei, Zhiqing, Zhou, Xinyi, Wu, Sheng   +5 more
core  

Task-Oriented Deep Joint Source-Channel Coding with Semantic-Aware Adaptive Quantization for Autonomous Driving. [PDF]

Sensors (Basel)
Wang X, Chen H, Sun Y, Li X, Xie M.
europepmc   +1 more source