Abstract | ||
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Product codes are a concatenated error-correction scheme that has been often considered for applications requiring very low bit-error rates, which demand that the error floor be decreased as much as possible. In this work, we consider product codes constructed from polynomial algebraic codes, and propose a novel low-complexity post-processing technique that is able to improve the error-correction performance by orders of magnitude. We provide lower bounds for the error rate achievable under post processing, and present simulation results indicating that these bounds are tight. |
Year | DOI | Venue |
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2016 | 10.1109/GlobalSIP.2016.7905932 | 2016 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP) |
DocType | Volume | ISSN |
Conference | abs/1611.04834 | 2376-4066 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Carlo Condo | 1 | 132 | 21.40 |
François Leduc-Primeau | 2 | 15 | 6.73 |
Gabi Sarkis | 3 | 253 | 17.23 |
Pascal Giard | 4 | 244 | 17.57 |
Warren J. Gross | 5 | 1106 | 113.38 |