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Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels
[article]
2019
arXiv
pre-print
Designing codes that combat the noise in a communication medium has remained a significant area of research in information theory as well as wireless communications. Asymptotically optimal channel codes have been developed by mathematicians for communicating under canonical models after over 60 years of research. On the other hand, in many non-canonical channel settings, optimal codes do not exist and the codes designed for canonical models are adapted via heuristics to these channels and are
arXiv:1911.03038v1
fatcat:zqzosaydmvhl3hnfnbshtwuiim