Source Coding Theorem
The Source Coding Theorem is a foundational result in information theory that establishes the minimum number of bits per symbol, asymptotically achievable by lossless compression, required to represent a stationary ergodic source, thereby delineating the theoretical limit of data compression in terms of the source's entropy rate.
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134
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2017–2026
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Shannon's Source Coding Theorem
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Stanford University
Stanford, United States
16 h-index
20 publications
1.4K citations
Massachusetts Institute of Technology
Cambridge, United States
13 h-index
19 publications
2.9K citations

University of Electro-Communications
Tokyo, Japan
12 h-index
13 publications
1.1K citations
University of California, Berkeley
Berkeley, United States
11 h-index
18 publications
1.5K citations
Technion – Israel Institute of Technology
Haifa, Israel
11 h-index
15 publications
604 citations

Cornell University
Ithaca, United States
8 h-index
11 publications
618 citations
Princeton University
Princeton, United States
7 h-index
10 publications
1.6K citations
University of Michigan
Ann Arbor, United States
6 h-index
9 publications
439 citations
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110 publications · 10.5K citations
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Repository · 4 publications · 60 citations
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Repository · 4 publications · 158 citations
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