Wavelet Analysis is a mathematical method in the field of signal processing that decomposes time series data into time-frequency representations by using wavelets—localized basis functions that vary in scale and position—to capture transient, non-stationary features with multi-resolution precision.
18.6K
Publications
1.1M
Citations
40.3K
Authors
6.9K
Institutions
Publications per year
2017–2026
4.4K
Publications
18.6K
1–5 of 18.6K
Authors
40.3K
- MU
41
h-index
- UR
33
h-index
- RG
32
h-index
- TS
27
h-index
- DL
27
h-index
1–5 of 40.3K
Institutions
6.9K
Centre National de la Recherche Scientifique
Paris, France
82 h-index
933 publications
64.2K citations
Xi'an Jiaotong University
Xi'an, China
57 h-index
563 publications
32.9K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
56 h-index
282 publications
22.9K citations
Stanford University
Stanford, United States
50 h-index
191 publications
77.7K citations
Texas A&M University
College Station, United States
50 h-index
250 publications
15.4K citations
Chinese Academy of Sciences
Beijing, China
49 h-index
548 publications
22.1K citations
University of Alberta
Edmonton, Canada
49 h-index
197 publications
12.2K citations
National University of Singapore
Singapore, Singapore
47 h-index
271 publications
31.5K citations
1–8 of 6.9K
Venues
- IEEE Transactions on Signal Processing
298 publications · 36.9K citations
88
h-index
- IEEE Transactions on Power Delivery
131 publications · 16.7K citations
74
h-index
- IEEE Transactions on Image Processing
167 publications · 23.2K citations
73
h-index
- Mechanical Systems and Signal Processing
MSSP · 150 publications · 13.9K citations
67
h-index
- Applied and Computational Harmonic Analysis
202 publications · 20.3K citations
59
h-index
1–5