Source Coding With Finite Blocklength
Source Coding with Finite Blocklength is a theoretical framework in information theory that characterizes the fundamental limits of data compression when a finite number of source symbols are encoded, distinguishing it from classical source coding by accounting for non-asymptotic trade-offs between blocklength, rate, and error probability.
74
Publications
3.5K
Citations
114
Authors
61
Institutions
Publications per year
2017–2026
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Princeton University
Princeton, United States
7 h-index
13 publications
1.2K citations
National University of Singapore
Singapore, Singapore
5 h-index
7 publications
172 citations
University of California, Berkeley
Berkeley, United States
5 h-index
8 publications
192 citations
University of Maryland, College Park
College Park, United States
4 h-index
4 publications
246 citations
Arizona State University
Tempe, United States
3 h-index
6 publications
140 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
3 publications
161 citations

Tokushima University
Tokushima, Japan
3 h-index
3 publications
104 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
3 h-index
4 publications
887 citations
1–8 of 61
36 publications · 2.2K citations
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Repository · 2 publications · 28 citations
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2 publications · 36 citations
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Conference · 1 publications · 12 citations
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BSTJ · 1 publications · 41 citations
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