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arXiv · 2101.02336

Distributed Arithmetic Coding for Sources with Hidden Markov Correlation

Yong Fang·Jechang Jeong
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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.

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Yong Fang, Jechang Jeong. 2021-01-07. Distributed Arithmetic Coding for Sources with Hidden Markov Correlation. https://arxiv.org/abs/2101.02336

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