Separation-Based Coding is a source-channel coding paradigm within information theory that belongs to the class of joint source-channel coding strategies, distinguished by its strict separation of source coding and channel coding processes into distinct, independently optimized stages that are concatenated without interaction, preserving the theoretical optimality of each under idealized conditions.
25
Publications
3.8K
Citations
40
Authors
26
Institutions
Publications per year
2017–2026
6
Parents
Publications
25
1–5 of 25
Authors
40
- MG
5
h-index
- BN
4
h-index
- DG
4
h-index
- YK
4
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- DB
3
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1–5 of 40
Institutions
26
University of California, Berkeley
Berkeley, United States
6 h-index
11 publications
2.9K citations
Imperial College London
London, United Kingdom
4 h-index
7 publications
3.5K citations
Technion – Israel Institute of Technology
Haifa, Israel
2 h-index
2 publications
71 citations
University College London
London, United Kingdom
2 h-index
2 publications
1.3K citations
Tel Aviv University
Tel Aviv, Israel
2 h-index
4 publications
112 citations
Syracuse University
Syracuse, United States
2 h-index
4 publications
82 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
2 h-index
3 publications
1.1K citations
AT&T (United States)
Bedminster, United States
2 h-index
2 publications
71 citations
1–8 of 26
Venues
- IEEE Transactions on Information Theory
7 publications · 1.5K citations
7
h-index
- IEEE Journal on Selected Areas in Information Theory
JSAIT · 1 publications · 395 citations
1
h-index
- IEEE Transactions on Cognitive Communications and Networking
TCCN · 1 publications · 1.2K citations
1
h-index
- IEEE Transactions on Automatic Control
1 publications · 26 citations
1
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- arXiv (Cornell University)
Repository · 1 publications · 18 citations
1
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1–5