Abstract
We address the problem of error correction by linear block codes under the assumption that the syndrome of a received vector is found with errors. We propose a construction of parity-check matrices which allow to solve the syndrome equation even with an erroneous syndrome, in particular, parity-check matrices with minimum redundancy, which are analogs of Reed-Solomon codes for this problem. We also establish analogs of classical coding theory bounds, namely the Hamming, Singleton, and Gilbert-Varshamov bounds. We show that the new problem can be considered as a generalization of the well-known Ulam’s problem on searching with a lie and as a discrete analog of the compressed sensing problem.
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Original Russian Text © S.G. Vlǎduţ, G.A. Kabatiansky, V.V. Lomakov, 2015, published in Problemy Peredachi Informatsii, 2015, Vol. 51, No. 2, pp. 50–56.
The research was carried out at the Institute for Information Transmission Problems of the Russian Academy of Sciences at the expense of the Russian Science Foundation, project no. 14-50-00150.
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Vlǎduţ, S.G., Kabatiansky, G.A. & Lomakov, V.V. On error correction with errors in both the channel and syndrome. Probl Inf Transm 51, 132–138 (2015). https://doi.org/10.1134/S0032946015020040
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DOI: https://doi.org/10.1134/S0032946015020040