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arXiv 1003.4879cs.ITmath.IT
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大常维码和字典码

Large Constant Dimension Codes and Lexicodes

Natalia Silberstein, Tuvi Etzion

摘要:

具有规定最小距离的等维码最近在网络编码中得到了应用。这种码中的所有码字都是具有给定维数的$\F_q^n$的子空间。由于搜索空间域非常大,所以计算机搜索大的常维码通常是低效的。即便如此,我们发现一些等维词典码比其他已知码更大。我们展示了如何使计算机搜索更有效。在这方面,我们提出了一个公式计算两个子空间之间的距离,不一定是相同的尺寸。

英文摘要:

Constant dimension codes, with a prescribed minimum distance, have found recently an application in network coding. All the codewords in such a code are subspaces of $\F_q^n$ with a given dimension. A computer search for large constant dimension codes is usually inefficient since the search space domain is extremely large. Even so, we found that some constant dimension lexicodes are larger than other known codes. We show how to make the computer search more efficient. In this context we present a formula for the computation of the distance between two subspaces, not necessarily of the same dimension.

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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