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arXiv 1206.4572cs.ITmath.COmath.IT
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二元序列的自相关与游程结构

Autocorrelations of Binary Sequences and Run Structure

Jürgen Willms

摘要:

本文分析了二进制序列的自相关性与由行程长度编码给出的行程结构之间的关系。我们表明,一个二进制序列的周期和非周期自相关可以制定的运行结构。游程结构由序列的连续游程给出。令C=(C(0),C(1),...,C(n))表示二进制序列的自相关向量。我们证明了C的二阶差分算子的第k个分量可以直接用总长为k的连续游程来计算。特别地,这表明第k个自相关已经由总长度L<k的所有连续游程确定。在非周期性的情况下,我们展示了如何运行向量R可以有效地计算,并给出了反对称序列的行程长度编码的表征。

英文摘要:

We analyze the connection between the autocorrelation of a binary sequence and its run structure given by the run length encoding. We show that both the periodic and the aperiodic autocorrelation of a binary sequence can be formulated in terms of the run structure. The run structure is given by the consecutive runs of the sequence. Let C=(C(0), C(1),...,C(n)) denote the autocorrelation vector of a binary sequence. We prove that the kth component of the second order difference operator of C can be directly calculated by using the consecutive runs of total length k. In particular this shows that the kth autocorrelation is already determined by all consecutive runs of total length L<k. In the aperiodic case we show how the run vector R can be efficiently calculated and give a characterization of skew-symmetric sequences in terms of their run length encoding.

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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