Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Filters
























1 Hit in 0.77 sec

Concatenated Classic and Neural (CCN) Codes: ConcatenatedAE [article]

Onur Günlü, Rick Fritschek, Rafael F. Schaefer
2023 arXiv   pre-print

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (380.3 kB)
https://web.archive.org/web/20220912074733/https://arxiv.org/pdf/2209.01701v1.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL. The file type is application/pdf.

Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:

2022 pre-print arXiv:2209.01701v1 fatcat:4drdt5hetjcpjg6kjcfg2qv2eu
Small neural networks (NNs) used for error correction were shown to improve on classic channel codes and to address channel model changes.  ...  We extend the code dimension of any such structure by using the same NN under one-hot encoding multiple times, then serially-concatenated with an outer classic code.  ...  ACKNOWLEDGMENT This work was supported by the German Federal Ministry of Education and Research (BMBF) under the Grants 16KIS1004 and 16KIS1242.  ... 
arXiv:2209.01701v2 fatcat:t7ovxc6r5bfglbzheweltf6m6i
Multiple Versions
Citation

Onur Günlü, Rick Fritschek, Rafael F. Schaefer. "Concatenated Classic and Neural (CCN) Codes: ConcatenatedAE." arXiv (2023)