Frequency-domain Classification
Frequency-Domain Classification is a methodological approach within time series classification that transforms time-domain signals into the frequency domain using techniques such as the Fourier Transform, enabling classification based on spectral characteristics rather than temporal patterns.
247
Publications
8.7K
Citations
728
Authors
344
Institutions
Publications per year
2017–2026
102
Parents
247
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344
Arizona State University
Tempe, United States
6 h-index
16 publications
1.3K citations

University of Electronic Science and Technology of China
Chengdu, China
5 h-index
9 publications
243 citations
University of Washington
Seattle, United States
4 h-index
10 publications
302 citations
Nanyang Technological University
Singapore, Singapore
4 h-index
9 publications
517 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
9 publications
258 citations

University of Macau
Macao, Macao
4 h-index
8 publications
182 citations
Pohang University of Science and Technology
Pohang, South Korea
4 h-index
10 publications
254 citations
Amirkabir University of Technology
Tehran, Iran
3 h-index
4 publications
80 citations
1–8 of 344
7 publications · 348 citations
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4 publications · 208 citations
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5 publications · 129 citations
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5 publications · 186 citations
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4 publications · 229 citations
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