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arXiv · 2111.02478

HOLZ: High-Order Entropy Encoding of Lempel-Ziv Factor Distances

Dominik Köppl·Gonzalo Navarro·Nicola Prezza
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Abstract

We propose a new representation of the offsets of the Lempel-Ziv (LZ) factorization based on the co-lexicographic order of the processed prefixes. The selected offsets tend to approach the k-th order empirical entropy. Our evaluations show that this choice of offsets is superior to the rightmost LZ parsing and the bit-optimal LZ parsing on datasets with small high-order entropy.

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Dominik Köppl, Gonzalo Navarro, Nicola Prezza. 2021-11-03. HOLZ: High-Order Entropy Encoding of Lempel-Ziv Factor Distances. https://arxiv.org/abs/2111.02478

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