Computing LZ77 in Run-Compressed Space
Computing LZ77 in Run-Compressed Space
复制标题
在运行压缩空间中计算 LZ77
DOI:
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发表时间:
2015
期刊:
影响因子:
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通讯作者:
N. Prezza
中科院分区:
文献类型:
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作者:
A. Policriti;N. Prezza
In this paper, we show that the LZ77 factorization of a text T ε Σn can be computed in O(R log n) bits of working space and O(n log R) time, R being the number of runs in the Burrows-Wheeler transform of T (reversed). For (extremely) repetitive inputs, the working space can be as low as O(log n) bits: exponentially smaller than the text itself. Hence, our result finds important applications in the construction of repetition-aware self-indexes and in the compression of repetitive text collections within small working space.