Distributed Arithmetic Coding for Sources with Hidden Markov Correlation
Information Theory
2021-01-08 v1 math.IT
Abstract
Distributed arithmetic coding (DAC) has been shown to be effective for Slepian-Wolf coding, especially for short data blocks. In this letter, we propose to use the DAC to compress momery-correlated sources. More specifically, the correlation between sources is modeled as a hidden Markov process. Experimental results show that the performance is close to the theoretical Slepian-Wolf limit.
Cite
@article{arxiv.2101.02336,
title = {Distributed Arithmetic Coding for Sources with Hidden Markov Correlation},
author = {Yong Fang and Jechang Jeong},
journal= {arXiv preprint arXiv:2101.02336},
year = {2021}
}