Wavelet Transform Analysis

Wavelet Transform Analysis is a signal processing technique that decomposes time-series data into time-frequency representations by applying scalable and localized basis functions, distinguishing it from other transforms through its ability to capture both transient and oscillatory features with variable resolution.

4.5K

Publications

208.8K

Citations

13K

Authors

3.4K

Institutions

Publications per year

2017–2026

1.2K

Authors

13K

  1. AA
    A. Arnéodo

    Centre National de la Recherche Scientifique, France

    17 publications · 2K citations

    16

    h-index

  2. XS
    Xueguang Shao

    Nankai University, China

    12 publications · 688 citations

    12

    h-index

  3. DB
    Dumitru Bǎleanu

    Çankaya University, Türkiye

    12 publications · 343 citations

    12

    h-index

  4. FB
    Flávio B. Costa

    Universidade Federal do Rio Grande do Norte, Brazil

    12 publications · 506 citations

    12

    h-index

  5. PS
    Paul S. Addison

    Edinburgh Napier University, United Kingdom

    13 publications · 611 citations

    12

    h-index

1–5 of 13K

Venues

  1. IEEE Transactions on Power Delivery

    52 publications · 7.9K citations

    42

    h-index

  2. Mechanical Systems and Signal Processing

    MSSP · 58 publications · 5.5K citations

    38

    h-index

  3. Expert Systems with Applications

    43 publications · 3.1K citations

    34

    h-index

  4. Measurement

    52 publications · 3.1K citations

    30

    h-index

  5. Electric Power Systems Research

    38 publications · 2.4K citations

    28

    h-index

1–5