Frequency-based Feature Extraction
Frequency-Based Feature Extraction is a signal processing technique that belongs to the class of feature extraction methods, distinguished by its reliance on the analysis of frequency domain characteristics to identify and isolate salient features from raw data.
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18.8K
Citations
1.5K
Authors
498
Institutions
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2017–2026
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Xi'an Jiaotong University
Xi'an, China
10 h-index
37 publications
1.9K citations

Northwestern Polytechnical University
Xi'an, China
9 h-index
21 publications
610 citations

Zhejiang University
Hangzhou, China
8 h-index
25 publications
755 citations

Shanghai Jiao Tong University
Shanghai, China
8 h-index
31 publications
1.4K citations

University of Electronic Science and Technology of China
Chengdu, China
8 h-index
22 publications
855 citations
Kunming University of Science and Technology
Kunming, China
8 h-index
22 publications
1.6K citations

Harbin Institute of Technology
Harbin, China
8 h-index
20 publications
496 citations

National University of Defense Technology
Changsha, China
7 h-index
24 publications
482 citations
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15 publications · 507 citations
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MSSP · 11 publications · 663 citations
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13 publications · 368 citations
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10 publications · 486 citations
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