Results 81 to 90 of about 1,192 (159)
Joint Source Channel Decoding exploiting 2D source correlation with parameter estimation for image transmission over Rayleigh fading channels [PDF]
This paper investigates the performance of a 2- Dimensional (2D) Joint Source Channel Coding (JSCC) system assisted with parameter estimation for 2D image transmission over an Additive White Gaussian Noise (AWGN) channel and a Rayleigh fading channel ...
Mohd. Nor, Muhamamd Izzat Amir +5 more
core
Ogawa 18-2-4-36aThe Jackson Street Community Council (JSCC) was created in Seattle in 1946 by the Asian and African-American communities to organize and support neighborhood businesses and social service organizations.
Ogawa, Elmer
core
D²-JSCC: Digital Deep Joint Source-Channel Coding for Semantic Communications
Semantic communications (SemCom) have emerged as a new paradigm for supporting sixth-generation applications, where semantic features of data are transmitted using artificial intelligence algorithms to attain high communication efficiencies.
Huang, Chuan +3 more
core +1 more source
Design of Joint Source-Channel Codes Based on a Generic Protograph
In this paper, we propose using a generic protograph to design joint source-channel codes (JSCCs). We present a generalized algorithm, called protograph extrinsic information transfer for JSCC algorithm (PEXIT-JSCC algorithm), for analyzing the channel ...
Zhan, Jia, Lau, Francis C. M.
core
SNR and Resource Adaptive Deep JSCC for Distributed IoT Image Classification
<p>Sensor-based local inference at IoT devices faces severe computational limitations, often requiring data transmission over noisy wireless channels for server-side processing.
Coleri, Sinem, Waqas, Ali
core +1 more source
Perceptual Learned Source-Channel Coding for High-Fidelity Image Semantic Transmission
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 learning and communication communities.
Wang, Sixian +5 more
core
Stacked Intelligent Metasurfaces-Based Joint Source-Channel Coding for Image Transmissions
This article proposes a joint source–channel coding (JSCC) framework based on a stacked intelligent metasurface (SIM)-enabled electromagnetic neural network (EMNN) with residual connections for image reconstruction over wireless channels.
Inhyeok Choi, Shun Kojima
doaj +1 more source
Jobs Runtime Forecast for JSCC RAS Supercomputers Using Machine Learning Methods
The paper is devoted to machine learning methods and algorithms for the supercomputer jobs execution prediction. The supercomputers statistics shows that the actual runtime of the most of the jobs substantially diverges from the time requested by the ...
Telegin, Pavel +4 more
core +1 more source
An analog joint source-channel coding (AJSCC) based on Shannon–Kotel’nikov (S-K) mapping transmitting discrete-time encoded samples in orthogonal frequency division multiplexing (OFDM) systems over wireless channel has exhibited excellent performance ...
Jingwen Lin +3 more
doaj +1 more source
Robust Information Bottleneck for Task-Oriented Communication with Digital Modulation
Task-oriented communications, mostly using learning-based joint source-channel coding (JSCC), aim to design a communication-efficient edge inference system by transmitting task-relevant information to the receiver.
Wu, Youlong +5 more
core

