Real-time Signal Processing
Real-Time Signal Processing is a signal processing paradigm that performs continuous computation and transformation of electronic signals with minimal latency, constrained by the requirement that operations must be completed within a strict temporal window dictated by the physical time of input acquisition and output delivery.
681
Publications
34.3K
Citations
2.2K
Authors
650
Institutions
Publications per year
2017–2026
122
681
Cellular neural networks: theory
Leon O. Chua, L. Yang · IEEE Transactions on Circuits and Systems · 1988 · 4.8K citations
William Bialek, Fred Rieke, Rob R. de Ruyter van Steveninck et al. · Science · 1991 · 1K citations
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2.2K
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650
University of California, Berkeley
Berkeley, United States
15 h-index
52 publications
6.5K citations
Massachusetts Institute of Technology
Cambridge, United States
10 h-index
18 publications
676 citations
IMEC
Leuven, Belgium
9 h-index
29 publications
1.4K citations

National Taiwan University
Taipei, Taiwan
8 h-index
24 publications
369 citations
KU Leuven
Leuven, Belgium
8 h-index
18 publications
854 citations
Texas A&M University
College Station, United States
7 h-index
10 publications
1K citations
Georgia Institute of Technology
Atlanta, United States
7 h-index
14 publications
469 citations
Stanford University
Stanford, United States
7 h-index
10 publications
1.6K citations
1–8 of 650
16 publications · 434 citations
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10 publications · 492 citations
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9 publications · 275 citations
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9 publications · 1.1K citations
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9 publications · 1.4K citations
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