Fourier Features
Fourier Features is a mathematical transformation technique in time series feature extraction that projects temporal data into a frequency domain representation through sinusoidal basis functions, distinguishing itself by capturing periodic patterns via coefficients derived from discrete Fourier transforms.
209
Publications
15.3K
Citations
655
Authors
274
Institutions
Publications per year
2017–2026
94
209
Sifan Wang, Hanwen Wang, Paris Perdikaris · Computer Methods in Applied Mechanics and Engineering · 2021 · 624 citations · Full text
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Norwegian University of Science and Technology, Norway
3 publications · 65 citations
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Concordia University
Montreal, Canada
9 h-index
22 publications
691 citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
20 publications
1.5K citations
Google (United States)
Mountain View, United States
5 h-index
11 publications
724 citations
Southwest University
Chongqing, China
4 h-index
15 publications
432 citations
University of Southern California
Los Angeles, United States
4 h-index
9 publications
452 citations
KU Leuven
Leuven, Belgium
4 h-index
8 publications
280 citations

Universidade Federal do Rio de Janeiro
Rio de Janeiro, Brazil
4 h-index
14 publications
298 citations

Tel Aviv University
Tel Aviv, Israel
4 h-index
4 publications
457 citations
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Repository · 25 publications · 2K citations
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6 publications · 456 citations
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4 publications · 517 citations
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4 publications · 138 citations
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4 publications · 139 citations
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