A Comparative Study of Artificial Intelligence-Based Algorithms for Bitwise Decoding of Error Correction Codes-Reference-Cited by-同舟云学术

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A Comparative Study of Artificial Intelligence-Based Algorithms for Bitwise Decoding of Error Correction Codes

Published:2023-10-16 Issue: Volume: Page:
ISSN:
Container-title:2023 22nd International Symposium on Communications and Information Technologies (ISCIT)
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Author:

Sharma Ekta¹,Shakeel Ismail²,Deo Ravinesh C.¹,Davey Christopher P.¹,Salcedo-Sanz Sancho³

Affiliation:

1. University of Southern Queensland,School of Mathematics, Physics and Computing,Springfield,Queensland,Australia,4300

2. Defence Science and Technology Group,Information Sciences Division,Edinburgh,SA,Australia,5111

3. Universidad de Alcalá,Department of Signal Processing and Communications,Alcalá de Henares,Spain,28805

Funder

Australian Mathematical Sciences Institute

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376047/10376048/10376079.pdf?arnumber=10376079

Reference24 articles.

1. Intelligent communication systems and networks (MLICOM 2017)

2. Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems

3. Machine Learning Based Featureless Signalling

4. Deep Learning for Wireless Communications: An Emerging Interdisciplinary Paradigm

5. Intelligent Communication: Application of Deep Learning at the Physical Layer of Communication

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1. Artificial Intelligence-Empowered Doppler Weather Profile for Low-Earth-Orbit Satellites;Sensors;2024-08-14

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