Results 81 to 90 of about 946 (135)

Turbo-detected unequal protection audio and speech transceivers using serially concatenated convolutional codes, trellis coded modulation and space-time trellis coding

, 2005
The MPEG-4 TwinVQ audio codec and the AMR-WB speech codec are investigated in the context of a jointly optimised turbo transceiver capable of providing unequal error protection.
Hanzo, L., Ng, S.X., Othman, N.S.
core  

A Multi-Hop Semantic Communication System Enhanced by Semantic Importance

IEEE Access
Semantic communication is envisioned as a promising solution for tackling the data transmission challenges in future wireless communication systems. In this paper, we propose a novel semantic importance-enhanced multi-hop semantic communication (SIMSC ...
Xin Huang, Chao Wang, Xuming Tian, Zuxing Li, Cong Zhao, Ming Xiao   +5 more
doaj   +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  

Generative AI-Based Vector Quantized End-to-End Semantic Communication System for Wireless Image Transmission

IEEE Transactions on Machine Learning in Communications and Networking
Semantic communication (SemCom) systems enhance transmission efficiency by conveying semantic information in lieu of raw data. However, challenges arise when designing these systems due to the need for robust semantic source coding for information ...
Maheshi Lokumarambage, Thushan Sivalingam, Feng Dong, Nandana Rajatheva, Anil Fernando   +4 more
doaj   +1 more source

Lightweight and Adaptive Deep Coding for Wireless Image Transmission in Semantic Communication

IEEE Access
Currently, deep learning-based joint source channel coding (JSCC) methods have achieved significant progress in enabling semantic communication. However, existing methods of this type often fall short of meeting the new demands in terms of model ...
Youming Sun, Jiafeng Wang, Lile Wei, Haiqiang Chen, Shuping Dang, Xiangcheng Li   +5 more
doaj   +1 more source

Adaptive Semantic Token Communication for Transformer-Based Edge Inference

IEEE Transactions on Machine Learning in Communications and Networking
This paper presents an adaptive framework for edge inference based on a dynamically configurable transformer-powered deep joint source channel coding (DJSCC) architecture. Motivated by a practical scenario where a resource constrained edge device engages
Alessio Devoto, Jary Pomponi, Mattia Merluzzi, Paolo Di Lorenzo, Simone Scardapane   +4 more
doaj   +1 more source

Energy-Limited Joint Source-Channel Coding of Gaussian Sources over Gaussian Channels with Unknown Noise Level. [PDF]

Entropy (Basel), 2023
Lev O, Khina A.
europepmc   +1 more source

Semantic Information Recovery in Wireless Networks. [PDF]

Sensors (Basel), 2023
Beck E, Bockelmann C, Dekorsy A.
europepmc   +1 more source

Adaptive Bit-Labeling Design for Probabilistic Shaping Based on Residual Source Redundancy. [PDF]

Entropy (Basel), 2023
Chen C, Chen Q, Liu S, Zhou L.
europepmc   +1 more source

Zero-Delay Joint Source Channel Coding for a Bivariate Gaussian Source over the Broadcast Channel with One-Bit ADC Front Ends. [PDF]

Entropy (Basel), 2021
Zhao W, Chen X.
europepmc   +1 more source