Capacity-achieving Input Distribution
Capacity-Achieving Input Distribution is a probability distribution over the input alphabet of a communication channel that maximizes the mutual information between the channel input and output, thereby achieving the channel's capacity as defined by Shannon's theorem.
101
Publications
5.5K
Citations
206
Authors
121
Institutions
Publications per year
2017–2026
22
Parents
101
1–5 of 101
206
6
h-index
King Abdullah University of Science and Technology, Saudi Arabia
4 publications · 98 citations
4
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4
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4
h-index
King Abdullah University of Science and Technology, Saudi Arabia
4 publications · 90 citations
4
h-index
1–5 of 206
121
Princeton University
Princeton, United States
9 h-index
17 publications
819 citations
Stanford University
Stanford, United States
9 h-index
15 publications
2.5K citations
Technion – Israel Institute of Technology
Haifa, Israel
6 h-index
9 publications
895 citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
8 publications
449 citations
University of Akron
Akron, United States
4 h-index
8 publications
155 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
4 h-index
6 publications
231 citations

McMaster University
Hamilton, Canada
4 h-index
10 publications
565 citations

Southeast University
Nanjing, China
4 h-index
11 publications
238 citations
1–8 of 121
32 publications · 3.4K citations
24
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10 publications · 277 citations
10
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5 publications · 389 citations
5
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3 publications · 190 citations
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1 publications · 10 citations
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1–5