Abstract
We propose the first non-trivial generic decoding algorithm for codes in the sum-rank metric. The new method combines ideas of well-known generic decoders in the Hamming and rank metric. For the same code parameters and number of errors, the new generic decoder has a larger expected complexity than the known generic decoders for the Hamming metric and smaller than the known rank-metric decoders.
Original language | English |
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Title of host publication | Proceedings of 2020 IEEE International Symposium on Information Theory |
Publisher | IEEE |
Publication date | Jun 2020 |
Pages | 54-59 |
Article number | 9174497 |
ISBN (Electronic) | 9781728164328 |
DOIs | |
Publication status | Published - Jun 2020 |
Event | 2020 IEEE International Symposium on Information Theory - Virtual event, Los Angeles, United States Duration: 21 Jun 2020 → 26 Jun 2020 https://2020.ieee-isit.org/ |
Conference
Conference | 2020 IEEE International Symposium on Information Theory |
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Location | Virtual event |
Country/Territory | United States |
City | Los Angeles |
Period | 21/06/2020 → 26/06/2020 |
Internet address |
Series | IEEE International Symposium on Information Theory - Proceedings |
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Volume | 2020-June |
ISSN | 2157-8095 |
Keywords
- Generic Decoding
- Sum-Rank Metric