Successive Refinement
Successive Refinement is a source coding strategy in which a source sequence is encoded in stages such that each stage refines the reconstruction of the previous one, enabling progressively improved fidelity at higher bit rates while maintaining consistency with earlier descriptions under rate-distortion constraints.
162
Publications
9.5K
Citations
374
Authors
183
Institutions
Publications per year
2017–2026
25
Variants
Successive Refinement Coding
162
A Cognitive Model of Planning*
Barbara Hayes‐Roth, Frederick Hayes‐Roth · Cognitive Science · 1979 · 1.2K citations · Full text
Successive refinement of information
W. Equitz, Thomas M. Cover · IEEE Transactions on Information Theory · 1991 · 544 citations
1–5 of 162
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University of California, Berkeley, United States
3 publications · 88 citations
3
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3
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1–5 of 374
183
Stanford University
Stanford, United States
8 h-index
15 publications
801 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
8 h-index
17 publications
744 citations
Technion – Israel Institute of Technology
Haifa, Israel
8 h-index
16 publications
720 citations
University of California, Berkeley
Berkeley, United States
5 h-index
17 publications
411 citations
University of California, Santa Barbara
Santa Barbara, United States
5 h-index
10 publications
256 citations
University of Southern California
Los Angeles, United States
4 h-index
20 publications
482 citations
National University of Singapore
Singapore, Singapore
4 h-index
10 publications
615 citations
AT&T (United States)
Bedminster, United States
4 h-index
6 publications
375 citations
1–8 of 183
31 publications · 2K citations
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4 publications · 96 citations
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4 publications · 495 citations
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4 publications · 94 citations
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3 publications · 208 citations
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