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arXiv 1401.2693cs.ITmath.IT
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随机秩度量码的列表可译码性

On List-decodability of Random Rank Metric Codes

Yang Ding

摘要:

在本文中,我们考虑了随机秩度量码和随机线性秩度量码的列表译码。首先,我们证明了,对于任意的$0<R<1$和$ε>0$($ε$和$R$是独立的),如果$0<\frac{n}{m}\leq ε$,那么以很高的概率,在$F_{q}^{m\times n}$的速率$R$的随机秩度量码可以列表解码的分数$(1-R-ε)$的秩误差与恒定的列表大小$L$满足$L\leq O(1/ε)$。此外,如果$\frac{n}{m}\geqΘ_R(ε)$,则$F_{q}^{m\times n}$中具有速率$R$和解码半径$ρ=1-R-ε$的任何秩度量码都不能在${\rm poly}(n)$时间内被列表解码。其次,我们证明了,如果$\frac{n}{m}$趋向于一个常数$b\leq 1$,则$F_{q}^{m\times n}$中的每个具有速率$R$和列表解码半径$ρ$的$F_q$ -线性秩度量码满足Gilbert-Varsharmov界,即,$R\leq (1-ρ)(1-bρ)$。此外,对于任意$ε>0$和任何$0<ρ<1$,具有高概率的随机$F_q$ -具有速率$R=(1-ρ)(1-bρ)-ε$的线性秩度量码可以被列表解码直到具有满足$L\leq O(\exp(1/ε))$的恒定列表大小$L$的秩误差的分数$ρ$。

英文摘要:

In the present paper, we consider list decoding for both random rank metric codes and random linear rank metric codes. Firstly, we show that, for arbitrary $0<R<1$ and $ε>0$ ($ε$ and $R$ are independent), if $0<\frac{n}{m}\leq ε$, then with high probability a random rank metric code in $F_{q}^{m\times n}$ of rate $R$ can be list-decoded up to a fraction $(1-R-ε)$ of rank errors with constant list size $L$ satisfying $L\leq O(1/ε)$. Moreover, if $\frac{n}{m}\geqΘ_R(ε)$, any rank metric code in $F_{q}^{m\times n}$ with rate $R$ and decoding radius $ρ=1-R-ε$ can not be list decoded in ${\rm poly}(n)$ time. Secondly, we show that if $\frac{n}{m}$ tends to a constant $b\leq 1$, then every $F_q$-linear rank metric code in $F_{q}^{m\times n}$ with rate $R$ and list decoding radius $ρ$ satisfies the Gilbert-Varsharmov bound, i.e., $R\leq (1-ρ)(1-bρ)$. Furthermore, for arbitrary $ε>0$ and any $0<ρ<1$, with high probability a random $F_q$-linear rank metric codes with rate $R=(1-ρ)(1-bρ)-ε$ can be list decoded up to a fraction $ρ$ of rank errors with constant list size $L$ satisfying $L\leq O(\exp(1/ε))$.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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