Learning strategies for neural min-sum decoding of LDPC codes
The min-sum (MS) decoding for low-density parity-check codes, though less complex than the sum–product algorithm, suffers from worse error-correcting performance. For enhancement, neural MS decoders leveraging deep learning have recently been introduced, but how to train them has not been sufficient...
| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
Elsevier
2025-02-01
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| coleção: | ICT Express |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2405959524001139 |