Results 91 to 100 of about 6,409,844 (151)

JSCC-Aided INR for High-Frequency Detail Preservation in LiDAR

IEEE Open Journal of the Communications Society
Light Detection and Ranging (LiDAR) sensors generate accurate 3D representations of real-world environments, which are essential for applications of 3D scene understanding.
Akihiro Kuwabara, Sorachi Kato, Toshiaki Koike-Akino, Takuya Fujihashi   +3 more
doaj   +1 more source

Energy-Efficient Autoencoder-Based Compact Image Payload Transmission over Noisy Indoor Industrial VLC Links

Photonics
Visible light communication (VLC) can reduce radio-frequency (RF) congestion in indoor industrial monitoring, but a short transmitted payload does not by itself prove that visual or task-relevant information has been preserved.
Alejandro Arratia Pavat, Pablo Palacios Játiva, María Camila Reyes, Muhammad Ijaz, Cesar Azurdia Meza, David Zabala-Blanco, Iván Sanchez   +6 more
doaj   +1 more source

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

Deep Joint Source-Channel Coding with Iterative Source Error Correction

, 2023
In this paper, we propose an iterative source error correction (ISEC) decoding scheme for deep-learning-based joint source-channel coding (Deep JSCC).
Kim, Hun-Seok, Lee, Changwoo, Hu, Xiao
core  

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

Network Coding Enhanced Semantic Communications in Internet of Vehicles

Applied Sciences
Low-latency visual information sharing is a key enabler for cooperative perception in vehicular networks. Network coding (NC) can exploit wireless superposition and side information to improve spectral efficiency in bidirectional relaying.
Yanzhou Wang, Jiahang Zhong, Congduan Li
doaj   +1 more source

An integrated joint source-channel coding framework for video transmission over packet lossy networks

, 2004
The problem of application-layer error control for real-time video transmission over packet lossy networks is commonly addressed by joint source-channel coding (JSCC).
Fan Zhai, Thrasyvoulos N. Pappas, Aggelos K. Katsaggelos, Yiftach Eisenberg, Randall Berry   +4 more
core  

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 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