---
title: Translating the EAH Data Compression Algorithm into Automata Theory
url: https://www.emergentmind.com/papers/0508090
type: paper
arxiv_id: '0508090'
arxiv_url: https://arxiv.org/abs/0508090
published: '2005-08-21'
categories:
- cs.DS
---

# Translating the EAH Data Compression Algorithm into Automata Theory

## Abstract

Adaptive codes have been introduced in [Dragos Trinca, cs.DS/0505007] as a new class of non-standard variable-length codes. These codes associate variable-length codewords to symbols being encoded depending on the previous symbols in the input data string. A new data compression algorithm, called EAH, has been introduced in [Dragos Trinca, cs.DS/0505061], where we have behaviorally shown that for a large class of input data strings, this algorithm substantially outperforms the well-known Lempel-Ziv universal data compression algorithm. In this paper, we translate the EAH encoder into automata theory.