Distributed Source Coding
Distributed Source Coding is a method in source coding theory that enables the efficient compression of correlated information sources operating without communication between encoders, relying on joint decoding to exploit statistical dependencies, thereby differing from conventional coding schemes that require coordinated encoding.
300
Publications
12.7K
Citations
479
Authors
221
Institutions
Publications per year
2017–2026
23
300
Compression with side information using turbo codes
A. Aaron, Bernd Girod · 2003 · 403 citations
Rate-adaptive codes for distributed source coding
David Varodayan, Anne Aaron, Bernd Girod · Signal Processing · 2006 · 323 citations
1–5 of 300
479
17
h-index
15
h-index
Singapore University of Technology and Design, Singapore
10 publications · 263 citations
10
h-index
10
h-index
10
h-index
1–5 of 479
221
University of California, Berkeley
Berkeley, United States
21 h-index
69 publications
3.9K citations
University of Michigan
Ann Arbor, United States
13 h-index
24 publications
2.5K citations
Massachusetts Institute of Technology
Cambridge, United States
12 h-index
27 publications
1.4K citations

Cornell University
Ithaca, United States
11 h-index
22 publications
786 citations
University of Southern California
Los Angeles, United States
11 h-index
29 publications
942 citations
Stanford University
Stanford, United States
10 h-index
24 publications
2.9K citations
Politecnico di Torino
Turin, Italy
9 h-index
18 publications
441 citations
Politecnico di Milano
Milan, Italy
9 h-index
28 publications
632 citations
1–8 of 221
35 publications · 3.2K citations
28
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12 publications · 307 citations
10
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7 publications · 171 citations
7
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6 publications · 149 citations
6
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6 publications · 213 citations
6
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1–5