Multiterminal Source Coding is a theoretical framework within rate-distortion theory that characterizes the optimal compression of multiple correlated sources observed separately and without inter-source communication, distinguished by the absence of joint encoding and the reliance on distributed coding strategies to achieve efficient reconstruction at a common destination.
91
Publications
5.9K
Citations
119
Authors
74
Institutions
Publications per year
2017–2026
2
Publications
91
1–5 of 91
Authors
119
- ZX
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- VS
8
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- TW
6
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5
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1–5 of 119
Institutions
74
Stanford University
Stanford, United States
9 h-index
17 publications
644 citations
Cornell University
Ithaca, United States
9 h-index
14 publications
2.4K citations
Texas A&M University
College Station, United States
9 h-index
27 publications
750 citations
University of California, Berkeley
Berkeley, United States
7 h-index
10 publications
1.2K citations
University of Michigan
Ann Arbor, United States
5 h-index
9 publications
214 citations
Kyushu University
Fukuoka, Japan
5 h-index
5 publications
994 citations
University of Maryland, College Park
College Park, United States
4 h-index
7 publications
581 citations
McMaster University
Hamilton, Canada
4 h-index
6 publications
273 citations
1–8 of 74
Venues
- IEEE Transactions on Information Theory
39 publications · 4.5K citations
30
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- Manufacturing Engineer
2 publications · 37 citations
2
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- IEEE Communications Letters
2 publications · 70 citations
2
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- ArXiv.org
Repository · 2 publications · 22 citations
2
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- IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
1 publications · 97 citations
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1–5