Innovative Variational AutoEncoder for an End-to-End Communication System

Powered by deep learning (DL), autoencoders (AE) end-to-end (E2E) communication systems have been developed to merge all physical layer blocks in traditional communication systems and have achieved great success. In this paper, a new probabilistic model, based on the variational autoencoders (VAE),...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Mohamad A. Alawad, Mutasem Q. Hamdan, Khairi A. Hamdi
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Variational autoencoder machine learning auto-encoder Hamming code latent random variable probabilistic models
Online Access:	https://ieeexplore.ieee.org/document/9964187/