A Gated Hypernet Decoder for Polar Codes
| Autor: | Eliya Nachmani, Lior Wolf |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
Scheme (programming language) Computer Science - Machine Learning Computer science Information Theory (cs.IT) Computer Science - Information Theory Maximum likelihood 020206 networking & telecommunications Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology 010501 environmental sciences Belief propagation 01 natural sciences Machine Learning (cs.LG) 0202 electrical engineering electronic engineering information engineering Polar Algorithm computer Decoding methods Computer Science::Information Theory 0105 earth and related environmental sciences computer.programming_language |
| Zdroj: | ICASSP |
| DOI: | 10.1109/icassp40776.2020.9054607 |
| Popis: | Hypernetworks were recently shown to improve the performance of message passing algorithms for decoding error correcting codes. In this work, we demonstrate how hypernetworks can be applied to decode polar codes by employing a new formalization of the polar belief propagation decoding scheme. We demonstrate that our method improves the previous results of neural polar decoders and achieves, for large SNRs, the same bit-error-rate performances as the successive list cancellation method, which is known to be better than any belief propagation decoders and very close to the maximum likelihood decoder. Accepted to ICASSP 2020 |
| Databáze: | OpenAIRE |
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