Codebook Cardinality Spectrum of Distributed Arithmetic Coding for Independent and Identically-Distributed Binary Sources

It was demonstrated that, as a nonlinear implementation of Slepian-Wolf Coding, Distributed Arithmetic Coding (DAC) outperforms traditional Low-Density Parity-Check (LPDC) codes for short code length and biased sources. This fact triggers research efforts into theoretical analysis of DAC. In our pre...

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Veröffentlicht in:	IEEE transactions on information theory Jg. 66; H. 10; S. 6580 - 6596
Hauptverfasser:	Fang, Yong, Stankovic, Vladimir
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Arithmetic coding biased sources Channel coding codebook cardinality spectrum Codes Complexity theory Correlation Decoding distributed arithmetic coding Distributed source coding Estimation Numerical analysis Parity check codes Slepian-Wolf coding
ISSN:	0018-9448, 1557-9654
Online-Zugang:	Volltext
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