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

Autor:	Woldemariam, Leah, Liu, Hang, Scaglione, Anna
Rok vydání:	2023
Předmět:	Computer Science - Information Theory
Druh dokumentu:	Working Paper
Popis:	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. Comment: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2309.05633 Zobrazit plný text záznamu View this record from Arxiv