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Error Probability of Distributed Arithmetic Coding

delete2021-12-01
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AI
Y
Yong Fang *
N
Nan Yang
陈军 封面图
陈军 (Jun Chen)
DOI:10.1109/LCOMM.2021.3114591delete
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摘要

摘要

En 中文
Distributed Arithmetic Coding (DAC) is an interesting realization of Slepian-Wolf coding that performs nonlinear coset-like partition for equiprobable binary sources. Just as in other coding problems, it is a very important issue to theoretically predict the decoding error probability of DAC. This letter proposes a plausible solution to this difficult issue. Our analyses are based on the concept of coexisting interval introduced in our previous work. Specifically, we use it to deduce the probability that two given codewords coexist in the same coset. Experimental results confirm the correctness of our theoretical analyses.
Keyword:
Decoding
Error probability
Arithmetic
Encoding
Codes
Hamming distance
Tools
Distributed arithmetic coding
Slepian-Wolf coding
coexisting interval
frame error rate
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期刊

IEEE Communications Letters 封面图
IEEE Communications Letters
IF:
4.4
论文数:
1.3W
被引数:
2.2W

机构

M
McMaster University
学者数:
3.6W
论文数: 3.3W
被引数: 4.4W
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