State Encoding Optimization
State Encoding Optimization is a method in power optimization that determines the most efficient binary encoding of finite-state machine states to minimize dynamic power consumption during state transitions.
14
Publications
271
Citations
37
Authors
16
Institutions
Publications per year
2017–2026
2
Variants
State Assignment Optimization
Parents
14
A novel method for watermarking sequential circuits
Matthew Lewandowski, Richard Meana, Matthew Morrison et al. · 2012 · 41 citations
1–5 of 14
37
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1
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1
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1–5 of 37
16
Yonsei University
Seoul, South Korea
2 h-index
3 publications
46 citations
Apple (United States)
Cupertino, United States
1 h-index
11 publications
242 citations
East China University of Science and Technology
Shanghai, China
1 h-index
1 publications
12 citations
Nanyang Technological University
Singapore, Singapore
1 h-index
1 publications
23 citations
Warsaw University of Technology
Warsaw, Poland
1 h-index
1 publications
23 citations
Iowa State University
Ames, United States
1 h-index
2 publications
46 citations
Hubei Normal University
Huangshi, China
1 h-index
4 publications
48 citations

ITRI International
San Jose, United States
1 h-index
1 publications
11 citations
1–8 of 16
1 publications · 11 citations
1
h-index
1 publications · 12 citations
1
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ICCAD · 1 publications · 11 citations
1
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1 publications · 24 citations
1
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1 publications · 18 citations
1
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1–5