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Error Probability of Distributed Arithmetic Coding

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

Abstract

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.
Keywords:
Decoding
Error probability
Arithmetic
Encoding
Codes
Hamming distance
Tools
Distributed arithmetic coding
Slepian-Wolf coding
coexisting interval
frame error rate
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Journal

IEEE Communications Letters cover
IEEE Communications Letters
IF:
4.4
Papers:
1.3W
Citations:
2.2W

Organization

M
McMaster University
Scholars:
3.6W
Papers: 3.3W
Citations: 4.4W
Cited Papers

Cited Papers

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Hamming Distance Spectrum of DAC Codes for Equiprobable Binary Sources
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errTira Tan; Whee Sze Ong; Tanujaa Rajasekaran; Khai Nee Koo; Li Li Chan; Donald Poon; Anupama Roy Chowdhury; Lalit Krishna; Ravindran Kanesvaran
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