Error Exponent Analysis
Error Exponent Analysis is a theoretical framework in finite blocklength information theory that characterizes the exponential decay rate of error probabilities with increasing block length, distinguishing itself by quantifying the trade-off between communication reliability, transmission rate, and coding complexity under finite constraints.
331
Publications
15.3K
Citations
434
Authors
225
Institutions
Publications per year
2017–2026
57
331
Quantum Illumination with Gaussian States
Si-Hui Tan, Baris I. Erkmen, Vittorio Giovannetti et al. · Physical Review Letters · 2008 · 694 citations · Full text
The method of types [information theory]
Imre Csiszár · IEEE Transactions on Information Theory · 1998 · 435 citations
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225
Technion – Israel Institute of Technology
Haifa, Israel
20 h-index
40 publications
1.3K citations
Massachusetts Institute of Technology
Cambridge, United States
20 h-index
54 publications
6.7K citations

Cornell University
Ithaca, United States
16 h-index
28 publications
1.8K citations
Stanford University
Stanford, United States
13 h-index
24 publications
911 citations
University of Cambridge
Cambridge, United Kingdom
12 h-index
25 publications
613 citations
University of Illinois Urbana-Champaign
Urbana, United States
12 h-index
32 publications
1.2K citations
Decision Systems (United States)
Northbrook, United States
12 h-index
22 publications
1.1K citations
National University of Singapore
Singapore, Singapore
11 h-index
16 publications
476 citations
1–8 of 225
142 publications · 8K citations
48
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15 publications · 762 citations
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11 publications · 296 citations
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Repository · 8 publications · 194 citations
8
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PRA · 5 publications · 593 citations
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