Shannon Source Coding
Shannon Source Coding is a foundational theory in information theory that establishes the limits of data compression by determining the minimum number of bits required to represent a source's output without loss of information, distinguishing it from channel coding and enabling the separation principle in communication system design.
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5.7K
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118
Authors
86
Institutions
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2017–2026
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78
Recent results in the Shannon theory
A.D. Wyner · IEEE Transactions on Information Theory · 1974 · 645 citations
Towards a theory of semantic communication
Jie Bao, Prithwish Basu, Mike Dean et al. · 2011 · 282 citations
János Körner, Alon Orlitsky · IEEE Transactions on Information Theory · 1998 · 250 citations
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Tel Aviv University
Tel Aviv, Israel
4 h-index
6 publications
339 citations
University of California, Berkeley
Berkeley, United States
4 h-index
5 publications
1.1K citations
Tokyo Institute of Technology
Tokyo, Japan
3 h-index
3 publications
77 citations
University of California San Diego
San Diego, United States
3 h-index
4 publications
772 citations
California Institute of Technology
Pasadena, United States
3 h-index
5 publications
268 citations

Cornell University
Ithaca, United States
2 h-index
3 publications
311 citations
Stanford University
Stanford, United States
2 h-index
3 publications
67 citations
North Carolina State University
Raleigh, United States
2 h-index
2 publications
45 citations
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34 publications · 3.6K citations
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Repository · 2 publications · 74 citations
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BSTJ · 2 publications · 198 citations
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2 publications · 98 citations
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PRL · 1 publications · 108 citations
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