|国家预印本平台
首页|Lempel-Ziv Complexity, Empirical Entropies, and Chain Rules

Lempel-Ziv Complexity, Empirical Entropies, and Chain Rules

Lempel-Ziv Complexity, Empirical Entropies, and Chain Rules

来源:Arxiv_logoArxiv
英文摘要

We derive upper and lower bounds on the overall compression ratio of the 1978 Lempel-Ziv (LZ78) algorithm, applied independently to $k$-blocks of a finite individual sequence. Both bounds are given in terms of normalized empirical entropies of the given sequence. For the bounds to be tight and meaningful, the order of the empirical entropy should be small relative to $k$ in the upper bound, but large relative to $k$ in the lower bound. Several non-trivial conclusions arise from these bounds. One of them is a certain form of a chain rule of the Lempel-Ziv (LZ) complexity, which decomposes the joint LZ complexity of two sequences, say, $\bx$ and $\by$, into the sum of the LZ complexity of $\bx$ and the conditional LZ complexity of $\by$ given $\bx$ (up to small terms). The price of this decomposition, however, is in changing the length of the block. Additional conclusions are discussed as well.

Neri Merhav

计算技术、计算机技术

Neri Merhav.Lempel-Ziv Complexity, Empirical Entropies, and Chain Rules[EB/OL].(2025-06-15)[2025-06-27].https://arxiv.org/abs/2506.12772.点此复制

评论