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This article is cited in 1 scientific paper (total in 1 paper)
Coding Theory
On application of the modulus metric to solving the minimum Euclidean distance decoding problem
V. А. Davydov Tikhonov Moscow Institute of Electronics and Mathematics, National Research University—Higher School of Economics, Moscow, Russia
Abstract:
We prove equivalence of using the modulus metric and Euclidean metric in solving the soft decoding problem for a memoryless discrete channel with binary input and $Q$-ary output. For such a channel, we give an example of a construction of binary codes correcting $t$ binary errors in the Hamming metric. The constructed codes correct errors at the output of a demodulator with $Q$ quantization errors as $(t+1)(Q-1)-1$ errors in the modulus metric. The obtained codes are shown to have polynomial decoding complexity.
Keywords:
modulus metric, Euclidean metric, soft decoding, binary-input $Q$-ary output channel, codes in the modulus metric.
Received: 09.05.2018 Revised: 23.03.2019 Accepted: 16.04.2019
Citation:
V. А. Davydov, “On application of the modulus metric to solving the minimum Euclidean distance decoding problem”, Probl. Peredachi Inf., 55:2 (2019), 50–57; Problems Inform. Transmission, 55:2 (2019), 145–151
Linking options:
https://www.mathnet.ru/eng/ppi2289 https://www.mathnet.ru/eng/ppi/v55/i2/p50
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Abstract page: | 204 | Full-text PDF : | 24 | References: | 37 | First page: | 4 |
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