Error correction by structural simplicity: correcting samplable additive errors
Error correction by structural simplicity: correcting samplable additive errors
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通过结构简单进行纠错:纠正可采样的加性误差
DOI:
10.1093/comjnl/bxy100
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发表时间:
2019
期刊:
影响因子:
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通讯作者:
Kenji Yasunaga
中科院分区:
文献类型:
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作者:
Li Xinjun;Sundquist Jan;Hamano Tsuyoshi;Sundquist Kristina;Kenji Yasunaga
This paper explores the possibilities and limitations of error correction by the structural simplicity of error mechanisms. Specifically, we consider channel models, calledsamplable additive channels, in which (i) errors are efficiently sampled without the knowledge of the coding scheme or the transmitted codeword; (ii) the entropy of the error distribution is bounded; and (iii) the number of errors introduced by the channel is unbounded. For the channels, several negative and positive results are provided. Assuming the existence of one-way functions, there are samplable additive errors of entropy nε for ε∈(0,1) that are pseudorandom, and thus not correctable by efficient coding schemes. It is shown that there is an oracle algorithm that induces a samplable distribution over {0,1}n of entropy m=ω(logn) that is not pseudorandom, but is uncorrectable by efficient schemes of rate less than 1−m/n−o(1). The results indicate that restricting error mechanisms to be efficiently samplable and not pseudorandom is insufficient for error correction. As positive results, some conditions are provided under which efficient error correction is possible.