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arXiv · 2309.05633

Low-Complexity Vector Source Coding for Discrete Long Sequences with Unknown Distributions

Leah Woldemariam·Hang Liu·Anna Scaglione
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Abstract

In this paper, we propose a source coding scheme that represents data from unknown distributions through frequency and support information. Existing encoding schemes often compress data by sacrificing computational efficiency or by assuming the data follows a known distribution. We take advantage of the structure that arises within the spatial representation and utilize it to encode run-lengths within this representation using Golomb coding. Through theoretical analysis, we show that our scheme yields an overall bit rate that nears entropy without a computationally complex encoding algorithm and verify these results through numerical experiments.

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Leah Woldemariam, Hang Liu, Anna Scaglione. 2023-09-11. Low-Complexity Vector Source Coding for Discrete Long Sequences with Unknown Distributions. https://arxiv.org/abs/2309.05633

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