Error Exponents
Error Exponents is a theoretical metric in information theory that quantifies the exponential rate at which the probability of decoding error diminishes with increasing block length in channel coding, specifically characterizing the asymptotic reliability of communication systems over noisy channels.
443
Publications
35.7K
Citations
543
Authors
273
Institutions
Publications per year
2017–2026
58
443
Capacity of Multi‐antenna Gaussian Channels
Emre Telatar · European Transactions on Telecommunications · 1999 · 11.3K citations · Full text
A Random Linear Network Coding Approach to Multicast
T. Ho, Muriel Médard, R. Koetter et al. · IEEE Transactions on Information Theory · 2006 · 2.6K citations
An Introduction to Statistical Communication Theory.
M. S. Bartlett, David Middleton · Biometrika · 1961 · 475 citations
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Massachusetts Institute of Technology
Cambridge, United States
26 h-index
58 publications
15.4K citations
Technion – Israel Institute of Technology
Haifa, Israel
22 h-index
52 publications
1.8K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
15 h-index
31 publications
2K citations

Cornell University
Ithaca, United States
14 h-index
28 publications
1.3K citations
University of Cambridge
Cambridge, United Kingdom
14 h-index
34 publications
892 citations
University of Illinois Urbana-Champaign
Urbana, United States
13 h-index
28 publications
3.6K citations
Stanford University
Stanford, United States
13 h-index
28 publications
1.1K citations
Decision Systems (United States)
Northbrook, United States
12 h-index
18 publications
3.3K citations
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184 publications · 13.3K citations
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Repository · 9 publications · 140 citations
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8 publications · 385 citations
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8 publications · 275 citations
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7 publications · 152 citations
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