Wavelet-based Pattern Analysis

Wavelet-Based Pattern Analysis is a method within multi-scale pattern analysis that employs wavelet transforms to decompose and analyze patterns across different scales, distinguishing itself by its ability to capture both frequency and location information in non-stationary signals.

478

Publications

25.4K

Citations

1.3K

Authors

639

Institutions

Publications per year

2017–2026

85

Authors

1.3K

  1. UR
    U. Rajendra Acharya

    Ngee Ann Polytechnic, Singapore

    4 publications · 516 citations

    4

    h-index

  2. RB
    Ram Bilas Pachori

    Indian Institute of Technology Indore, India

    4 publications · 348 citations

    4

    h-index

  3. AA
    A. Arnéodo

    Centre National de la Recherche Scientifique, France

    3 publications · 224 citations

    3

    h-index

  4. MG
    Munther Gdeisat

    Liverpool John Moores University, United Kingdom

    3 publications · 85 citations

    3

    h-index

  5. ML
    Ming Liang

    University of Ottawa, Canada

    3 publications · 171 citations

    3

    h-index

1–5 of 1.3K

Venues

  1. Mechanical Systems and Signal Processing

    MSSP · 11 publications · 718 citations

    12

    h-index

  2. Pattern Recognition

    9 publications · 931 citations

    9

    h-index

  3. 8

    h-index

  4. Expert Systems with Applications

    7 publications · 433 citations

    7

    h-index

  5. Signal Processing

    6 publications · 358 citations

    7

    h-index

1–5