Signal Processing for Resolution is a methodological framework within signal processing that specifically enhances the discriminative accuracy of energy measurements by optimizing the extraction and interpretation of spectral features from raw detector outputs.
94
Publications
4.2K
Citations
381
Authors
137
Institutions
Publications per year
2017–2026
15
Parents
Publications
94
1–5 of 94
Authors
381
- CFCarlos Fernandez‐Granda
Courant Institute of Mathematical Sciences, United States
3 publications · 529 citations
3
h-index
- ÇC
3
h-index
- DC
3
h-index
- AG
2
h-index
- EJ
2
h-index
1–5 of 381
Institutions
137
Centre National de la Recherche Scientifique
Paris, France
3 h-index
8 publications
347 citations
Middle East Technical University
Ankara, Türkiye
3 h-index
4 publications
570 citations
Stanford University
Stanford, United States
3 h-index
5 publications
965 citations
University of Maine
Orono, United States
3 h-index
3 publications
295 citations
Harbin Institute of Technology
Harbin, China
2 h-index
9 publications
399 citations
Politecnico di Milano
Milan, Italy
2 h-index
7 publications
215 citations
University of Rhode Island
Kingston, United States
2 h-index
4 publications
230 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
3 publications
85 citations
1–8 of 137
Venues
- IEEE Transactions on Signal Processing
6 publications · 322 citations
6
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- IEEE Signal Processing Letters
3 publications · 480 citations
3
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- IEEE Transactions on Acoustics Speech and Signal Processing
3 publications · 126 citations
3
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- IEEE Transactions on Industrial Electronics
3 publications · 369 citations
3
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- IEEE Transactions on Instrumentation and Measurement
3 publications · 55 citations
3
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1–5