Binary Source Rate-distortion Theory
Binary Source Rate-Distortion Theory is a sub-framework within rate-distortion theory that specifically characterizes the fundamental limits of lossy compression for binary random variables by determining the minimum achievable rate required to reconstruct the source within a specified distortion level under a given distortion measure.
42
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3.4K
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76
Authors
55
Institutions
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2017–2026
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New results in binary multiple descriptions
Zhen Zhang, Thomas Berger · IEEE Transactions on Information Theory · 1987 · 216 citations
The rate loss in the Wyner-Ziv problem
Ram Zamir · IEEE Transactions on Information Theory · 1996 · 184 citations
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École Polytechnique Fédérale de Lausanne, Switzerland
3 publications · 347 citations
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École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
6 h-index
11 publications
884 citations

Cornell University
Ithaca, United States
6 h-index
10 publications
2.5K citations
University of California, Berkeley
Berkeley, United States
5 h-index
6 publications
239 citations
Stanford University
Stanford, United States
4 h-index
7 publications
182 citations
Princeton University
Princeton, United States
4 h-index
8 publications
176 citations

McMaster University
Hamilton, Canada
3 h-index
12 publications
206 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
2 publications
98 citations

Supélec
Gif-sur-Yvette, France
2 h-index
4 publications
140 citations
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19 publications · 2.9K citations
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Repository · 4 publications · 60 citations
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2 publications · 32 citations
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1 publications · 16 citations
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Conference · 1 publications · 32 citations
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