BWT Tunnel Planning is Hard But Manageable

Uwe Baier, K. Dede
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引用次数: 2

Abstract

The Burrows-Wheeler transform is a well known and useful text transformation used for both data compression and text indexing. Recently, a new technique called "tunneling" was presented, improving compression rates of BWT compressors by a vast amount. In this paper, we address the problem of "tunnel planning", that is, find a good choice of Blocks to be tunneled. We show that, if Blocks are allowed to overlap each other, the corresponding Block cover and maximum coverage problem are NP-hard, while the Block cover problem is in P if no overlappings are allowed. Furthermore, we present a simple heuristic which outperforms existing solutions for Block choice in the overlapping case both in compression rate and resource requirements.
BWT隧道规划虽难但可控
Burrows-Wheeler变换是一种众所周知的有用的文本变换,用于数据压缩和文本索引。近年来,一种名为“隧道”的新技术被提出,极大地提高了BWT压缩机的压缩率。在本文中,我们解决了“隧道规划”的问题,即找到一个好的选择要隧道的块。我们证明,如果允许Block相互重叠,对应的Block覆盖和最大覆盖问题是np困难的,而如果不允许重叠,Block覆盖问题在P中。此外,我们提出了一个简单的启发式算法,在压缩率和资源需求方面都优于现有的重叠情况下的块选择解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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