Neuromorphic computing is an emerging computing paradigm that moves away from
batched processing towards the online, event-driven, processing of streaming data …

Deep learning driven joint source-channel coding (JSCC) for wireless image or video
transmission, also called DeepJSCC, has been a topic of interest recently with very …

5G has expanded the traditional focus of wireless systems to embrace two new connectivity
types: ultra-reliable low latency and massive communication. The technology context at the …

This paper presents a novel wireless image transmission paradigm that can exploit
feedback from the receiver, called JSCCformer-f. We consider a block feedback channel …

Semantic communication is a new paradigm that exploits deep learning models to enable
end-to-end (E2E) communications processes, and recent studies have shown that it can …

Recent deep learning methods have led to increased interest in solving high-efficiency end-
to-end transmission problems. These methods, we call nonlinear transform source-channel …

Progressive deep image compression (DIC) with hybrid contexts is an under-investigated
problem that aims to jointly maximize the utility of a compressed image for multiple contexts …

This paper presents a vision transformer (ViT) based joint source and channel coding
(JSCC) scheme for wireless image transmission over multiple-input multiple-output (MIMO) …

This paper proposes a new wireless video communication scheme to achieve high-
efficiency video transmission over noisy channels. It exploits the idea of model division …

In this paper, we propose a new class of high-efficiency semantic coded transmission
methods to realize end-to-end speech transmission over wireless channels. We name the …