Finite Blocklength Source Coding is a source coding paradigm that characterizes the trade-off between compression rate, error probability, and finite block length in lossless or lossy data compression, distinguishing it from asymptotic source coding by explicitly accounting for non-negligible blocklength effects.
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34
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2017–2026
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34
Princeton University
Princeton, United States
7 h-index
13 publications
1.3K citations
University of Maryland, College Park
College Park, United States
4 h-index
4 publications
271 citations
University of California, Berkeley
Berkeley, United States
3 h-index
4 publications
150 citations
Arizona State University
Tempe, United States
3 h-index
6 publications
140 citations
National University of Singapore
Singapore, Singapore
3 h-index
6 publications
164 citations
University of Toronto
Toronto, Canada
2 h-index
2 publications
143 citations
University of Michigan
Ann Arbor, United States
2 h-index
5 publications
78 citations
Tokyo Institute of Technology
Tokyo, Japan
2 h-index
2 publications
50 citations
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- IEEE Transactions on Information Theory
25 publications · 1.3K citations
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- Journal of the Audio Engineering Society
AES · 1 publications · 12 citations
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- arXiv (Cornell University)
Repository · 1 publications · 11 citations
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- GLOBECOM '05. IEEE Global Telecommunications Conference, 2005.
Conference · 1 publications · 12 citations
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- IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
1 publications · 23 citations
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