… [10] Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, and Yong Yu, “Infomax
neural joint source-channel coding via adversarial bit flip,” arXiv preprint arXiv:2004.01454, …

… for channel coding [12,13], and to significantly simplify the design of joint source-channel
coding … We build upon the recent success of deep neural networks (DNNs) both for coding and …

… consider joint source and channel coding of natural language over a noisy channel using …
In this work, we consider design of joint source-channel coding using deep neural networks …

… Abstract—Recent works have shown that joint source-channel coding (JSCC) schemes
using deep neural networks (DNNs), called DeepJSCC, provide promising results in wireless …

… We present a novel adaptive deep joint source-channel coding (JSCC) scheme for wireless
image transmission. The proposed scheme supports multiple rates using a single deep neu…

… design of low-delay joint sourcechannel coding (JSCC) schemes for the transmission of
discretetime analog sources over noisy channels based on deep neural networks. The design …

… • NECST (Ideal): We consider the neural joint sourcechannel coding (NECST) approach
in [33], which assumes the BSCs with the homogeneous bit-flip probabilities, with an ideal …

… study joint source-channel coding of gaussian sources over multiple AWGN … neural network
based solution for joint source channel coding of Gaussian sources over AWGN channels …

… -to-end optimized neural joint sourcechannel coding (JSCC) has … of neural JSCC is based
on the convolutional neural network (… leading to inferior system coding gain against traditional …

… We propose a learned neural network based solution that brings diverse ideas from machine
learning like Variational Autoencoders (VAEs) and Mixture-ofExperts (MoE) to achieve/…