Binary linear code weight distribution estimation by random bit stream compression
Alessandro Tomasi, Alessio Meneghetti

TL;DR
This paper presents a statistical method to estimate the weight distribution of a linear code by compressing random bit streams using the code's generator matrix, offering a novel approach to analyze code properties.
Contribution
It introduces a new estimation algorithm leveraging generator matrix-based compression for linear code weight distribution analysis.
Findings
Effective estimation of weight distribution demonstrated
Algorithm shows promising accuracy and efficiency
Applicable to various linear codes
Abstract
A statistical estimation algorithm of the weight distribution of a linear code is shown, based on using its generator matrix as a compression function on random bit strings.
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Taxonomy
TopicsAlgorithms and Data Compression · Cellular Automata and Applications · Chaos-based Image/Signal Encryption
