Source Coding with Cost Constraints is a source coding framework in information theory that generalizes lossless and lossy compression by incorporating explicit cost functions on source symbols or encoding actions, thereby restricting allowable codewords or encoding procedures to those satisfying prescribed average cost limits.
16
Publications
1.6K
Citations
28
Authors
18
Institutions
Publications per year
2017–2026
1
Parents
Publications
16
1–5 of 16
Authors
28
- YC
3
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- TW
3
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- MS
2
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- HA
2
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- KK
2
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1–5 of 28
Institutions
18
Stanford University
Stanford, United States
6 h-index
10 publications
180 citations
Iowa State University
Ames, United States
2 h-index
2 publications
44 citations
Institute for Infocomm Research
Singapore, Singapore
2 h-index
2 publications
34 citations
University of California San Diego
San Diego, United States
2 h-index
5 publications
68 citations
KTH Royal Institute of Technology
Stockholm, Sweden
2 h-index
6 publications
102 citations
Princeton University
Princeton, United States
1 h-index
1 publications
27 citations
University of Toronto
Toronto, Canada
1 h-index
1 publications
21 citations
Northwestern University
Evanston, United States
1 h-index
6 publications
66 citations
1–8 of 18
Venues
- IEEE Transactions on Information Theory
8 publications · 1.2K citations
8
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- Information and Control
1 publications · 21 citations
1
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- The Computer Journal
1 publications · 21 citations
1
h-index
- IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
1 publications · 10 citations
1–4