A (non)static 0-order statistical model and its implementation for compressing virtually uncompressible data

TL;DR

This paper presents a statistical model designed to compress data that appears nearly random, along with its implementation, aiming to improve compression of virtually uncompressible data.

Contribution

It introduces a novel (non)static 0-order statistical model and provides an implementation for compressing nearly random binary sequences.

Findings

Effective compression of near-random binary data.

Implementation demonstrates practical applicability.

Model approaches the limits of compressibility for random-like data.

Abstract

We give an implementation of a statistical model, which can be successfully applied for compressing of a sequence of binary digits with behavior close to random.