8 citations · 38 across the 28 of their papers we have counts for
10 papers · 1 filter
Variational Speech Waveform Compression to Catalyze Semantic Communications
Shengshi Yao, Zixuan Xiao, Sixian Wang +3
We propose a novel neural waveform compression method to catalyze emerging speech semantic communications. By introducing nonlinear transform and variational modeling, we effective…
Wireless Deep Speech Semantic Transmission
Zixuan Xiao, Shengshi Yao, Jincheng Dai +3
In this paper, we propose a new class of high-efficiency semantic coded transmission methods for end-to-end speech transmission over wireless channels. We name the whole system as…
WITT: A Wireless Image Transmission Transformer for Semantic Communications
Ke Yang, Sixian Wang, Jincheng Dai +3
In this paper, we aim to redesign the vision Transformer (ViT) as a new backbone to realize semantic image transmission, termed wireless image transmission transformer (WITT). Prev…
Toward Adaptive Semantic Communications: Efficient Data Transmission via Online Learned Nonlinear Transform Source-Channel Coding
Jincheng Dai, Sixian Wang, Ke Yang +5
The emerging field semantic communication is driving the research of end-to-end data transmission. By utilizing the powerful representation ability of deep learning models, learned…
Versatile Semantic Coded Transmission over MIMO Fading Channels
Shengshi Yao, Sixian Wang, Jincheng Dai +2
Semantic communications have shown great potential to boost the end-to-end transmission performance. To further improve the system efficiency, in this paper, we propose a class of…
Communication Beyond Transmitting Bits: Semantics-Guided Source and Channel Coding
Jincheng Dai, Ping Zhang, Kai Niu +3
Classical communication paradigms focus on accurately transmitting bits over a noisy channel, and Shannon theory provides a fundamental theoretical limit on the rate of reliable co…
Perceptual Learned Source-Channel Coding for High-Fidelity Image Semantic Transmission
Jun Wang, Sixian Wang, Jincheng Dai +3
As one novel approach to realize end-to-end wireless image semantic transmission, deep learning-based joint source-channel coding (deep JSCC) method is emerging in both deep learni…
Wireless Deep Video Semantic Transmission
Sixian Wang, Jincheng Dai, Zijian Liang +5
In this paper, we design a new class of high-efficiency deep joint source-channel coding methods to achieve end-to-end video transmission over wireless channels. The proposed metho…
Towards Semantic Communications: A Paradigm Shift
Kai Niu, Jincheng Dai, Shengshi Yao +4
The last seventy years have witnessed the transition of communication from Shannon's theoretical concept to current high-efficient practical systems. Classical communication system…
Distributed Image Transmission using Deep Joint Source-Channel Coding
Sixian Wang, Ke Yang, Jincheng Dai +1
We study the problem of deep joint source-channel coding (D-JSCC) for correlated image sources, where each source is transmitted through a noisy independent channel to the common r…