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arXiv 1202.0338cs.ITmath.IT
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子空间码的代数列表译码

Algebraic List-decoding of Subspace Codes

Hessam Mahdavifar, Alexander Vardy

摘要:

在网络拓扑未知的情况下(非相干情况),为了纠正随机网络编码的错误和擦除,引入了子空间码。子空间码实际上是有限域上某个向量空间的子空间的集合。子空间码的Koetter-Kschischang构造类似于Reed-Solomon码,因为码字是通过评估某些(线性化)多项式获得的。本文研究Koetter-Kschischang子空间码的列表译码问题。从某种意义上说,我们能够实现这些代码苏丹能够实现里德所罗门码。为了做到这一点,我们必须在许多重要方面修改和概括原始的Koetter-Kschischang结构。最终结果是这样的:对于任何整数$L$,假设误差的归一化维数至多为$ L - \frac{L(L+1)}{2}R $,则我们的列表- $L$解码器保证消息子空间的成功恢复,其中$R$是归一化分组速率。正如在苏丹的列表解码算法的情况下,这超过了以前最好的已知的纠错半径$1-R$,由Koetter和Kschischang证明,低速率$R$。

英文摘要:

Subspace codes were introduced in order to correct errors and erasures for randomized network coding, in the case where network topology is unknown (the noncoherent case). Subspace codes are indeed collections of subspaces of a certain vector space over a finite field. The Koetter-Kschischang construction of subspace codes are similar to Reed-Solomon codes in that codewords are obtained by evaluating certain (linearized) polynomials. In this paper, we consider the problem of list-decoding the Koetter-Kschischang subspace codes. In a sense, we are able to achieve for these codes what Sudan was able to achieve for Reed-Solomon codes. In order to do so, we have to modify and generalize the original Koetter-Kschischang construction in many important respects. The end result is this: for any integer $L$, our list-$L$ decoder guarantees successful recovery of the message subspace provided that the normalized dimension of the error is at most $ L - \frac{L(L+1)}{2}R $ where $R$ is the normalized packet rate. Just as in the case of Sudan's list-decoding algorithm, this exceeds the previously best known error-correction radius $1-R$, demonstrated by Koetter and Kschischang, for low rates $R$.

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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