Source-Channel Separation is an architectural and coding-theoretic principle in information theory stating that, for a broad class of single-user communication scenarios, optimal reliable or distortion-constrained transmission can be achieved without loss of optimality by independently designing a source code that compresses the source to a rate below the channel capacity and a channel code that reliably communicates at any rate below that capacity, instead of performing joint source–channel coding.
108
Publications
6K
Citations
207
Authors
109
Institutions
Publications per year
2017–2026
13
Variants
Source-channel Separation Theorem
Parents
Publications
108
1–5 of 108
Authors
207
- DG
7
h-index
- SD
6
h-index
- CT
6
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- SS
5
h-index
- EE
5
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1–5 of 207
Institutions
109
Princeton University
Princeton, United States
9 h-index
19 publications
1.3K citations
Technion – Israel Institute of Technology
Haifa, Israel
9 h-index
11 publications
267 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
8 h-index
13 publications
1.7K citations
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
5 publications
95 citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
6 publications
167 citations
Tel Aviv University
Tel Aviv, Israel
5 h-index
10 publications
415 citations
University of California, Berkeley
Berkeley, United States
5 h-index
9 publications
3.2K citations
AT&T (United States)
Bedminster, United States
5 h-index
5 publications
145 citations
1–8 of 109
Venues
- IEEE Transactions on Information Theory
26 publications · 2.8K citations
18
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- IEEE Transactions on Communications
8 publications · 156 citations
8
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- IEEE Transactions on Multimedia
2 publications · 78 citations
2
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- EURASIP Journal on Advances in Signal Processing
2 publications · 40 citations
2
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- IEEE Transactions on Wireless Communications
2 publications · 72 citations
2
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1–5