Information-theoretic Capacity
Information-Theoretic Capacity is the maximum achievable rate of reliable information transmission over an underwater acoustic communication channel, as determined by the channel's statistical properties and noise characteristics within the framework of Shannon's information theory.
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2.7K
Authors
982
Institutions
Publications per year
2017–2026
304
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King Abdullah University of Science and Technology, Saudi Arabia
28 publications · 1.1K citations
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Massachusetts Institute of Technology
Cambridge, United States
34 h-index
90 publications
14.2K citations
Stanford University
Stanford, United States
32 h-index
105 publications
25.5K citations
Princeton University
Princeton, United States
30 h-index
82 publications
9.1K citations
Technion – Israel Institute of Technology
Haifa, Israel
28 h-index
63 publications
7.6K citations
University of California, Berkeley
Berkeley, United States
27 h-index
55 publications
8.9K citations
University of Illinois Urbana-Champaign
Urbana, United States
25 h-index
64 publications
5.4K citations
University of California San Diego
San Diego, United States
23 h-index
43 publications
4.7K citations
University of Maryland, College Park
College Park, United States
19 h-index
42 publications
3.5K citations
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280 publications · 50.1K citations
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68 publications · 6.2K citations
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39 publications · 2.3K citations
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Repository · 33 publications · 1.6K citations
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