Spectral Interpolation
Spectral Interpolation is a computational technique in spectral data processing that estimates intermediate spectral values between discrete data points by applying mathematical functions to enhance spectral resolution while preserving the intrinsic spectral characteristics of the signal.
199
Publications
13.2K
Citations
404
Authors
231
Institutions
Publications per year
2017–2026
33
199
1–5 of 199
404
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231
Imam Khomeini International University
Qazvin, Iran
10 h-index
16 publications
574 citations

Polytechnic University of Timişoara
Timișoara, Romania
5 h-index
6 publications
316 citations

University of British Columbia
Vancouver, Canada
5 h-index
10 publications
226 citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
8 publications
350 citations
Stanford University
Stanford, United States
5 h-index
7 publications
378 citations

University of Minnesota
Minneapolis, United States
4 h-index
4 publications
390 citations
NOAA National Centers for Environmental Prediction
College Park, United States
4 h-index
6 publications
340 citations
Institut Polytechnique de Bordeaux
Bordeaux, France
4 h-index
4 publications
290 citations
1–8 of 231
8 publications · 834 citations
8
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6 publications · 158 citations
6
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MCOM · 5 publications · 149 citations
5
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5 publications · 629 citations
5
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4 publications · 3.1K citations
4
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1–5