---
title: Modelling the EAH Data Compression Algorithm using Graph Theory
url: https://www.emergentmind.com/papers/0508089
type: paper
arxiv_id: '0508089'
arxiv_url: https://arxiv.org/abs/0508089
published: '2005-08-21'
categories:
- cs.DS
---

# Modelling the EAH Data Compression Algorithm using Graph Theory

## Abstract

Adaptive codes associate variable-length codewords to symbols being encoded depending on the previous symbols in the input data string. This class of codes has been introduced in [Dragos Trinca, cs.DS/0505007] as a new class of non-standard variable-length codes. New algorithms for data compression, based on adaptive codes of order one, have been presented in [Dragos Trinca, ITCC-2004], where we have behaviorally shown that for a large class of input data strings, these algorithms substantially outperform the Lempel-Ziv universal data compression algorithm. EAH has been introduced in [Dragos Trinca, cs.DS/0505061], as an improved generalization of these algorithms. In this paper, we present a translation of the EAH algorithm into the graph theory.