Wavelet Transform

Wavelet Transform is a mathematical technique for analyzing non-stationary signals by decomposing them into time-frequency representations through localized wave-like basis functions.

26.4K

Publications

1.5M

Citations

55.2K

Authors

8K

Institutions

Publications per year

2017–2026

7.1K

Authors

55.2K

  1. UR
    U. Rajendra Acharya

    Ngee Ann Polytechnic, Singapore

    72 publications · 6.6K citations

    47

    h-index

  2. MU
    Michaël Unser

    École Polytechnique Fédérale de Lausanne, Switzerland

    78 publications · 9.5K citations

    41

    h-index

  3. RB
    Ram Bilas Pachori

    Indian Institute of Technology Indore, India

    57 publications · 5.5K citations

    40

    h-index

  4. RG
    Richard G. Baraniuk

    Rice University, United States

    64 publications · 8.8K citations

    34

    h-index

  5. MV
    Martin Vetterli

    École Polytechnique Fédérale de Lausanne, Switzerland

    51 publications · 17.4K citations

    33

    h-index

1–5 of 55.2K

Venues

  1. IEEE Transactions on Image Processing

    301 publications · 52.3K citations

    107

    h-index

  2. IEEE Transactions on Signal Processing

    337 publications · 46.7K citations

    96

    h-index

  3. IEEE Transactions on Power Delivery

    189 publications · 22.7K citations

    91

    h-index

  4. Geophysics

    200 publications · 18.7K citations

    70

    h-index

  5. IEEE Transactions on Biomedical Engineering

    163 publications · 19.6K citations

    67

    h-index

1–5