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DIR-Net: Deep Residual Polar Decoding Network Based on Information Refinement
Polar codes are closer to the Shannon limit with lower complexity in coding and decoding. As traditional decoding techniques suffer from high latency and low throughput, with the development of deep learning technology, some deep learning-based decoding methods have been proposed to solve these prob...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777643/ https://www.ncbi.nlm.nih.gov/pubmed/36554214 http://dx.doi.org/10.3390/e24121809 |