Time-frequency Ridge Extraction

Time-Frequency Ridge Extraction is a signal processing technique that identifies and isolates the most significant energy trajectories, or ridges, in a time-frequency representation by tracking local maxima across frequency bins over time to capture the instantaneous spectral characteristics of non-stationary signals.

22

Publications

1.4K

Citations

72

Authors

43

Institutions

Publications per year

2017–2026

10

Authors

72

  1. ZC
    Zaigang Chen

    Southwest Jiaotong University, China

    3 publications · 245 citations

    3

    h-index

  2. YY
    Yaocheng Yang

    Southwest Jiaotong University, China

    2 publications · 215 citations

    2

    h-index

  3. JT
    J. Terrien

    Université de Technologie de Compiègne, France

    2 publications · 62 citations

    2

    h-index

  4. CM
    Catherine Marque

    Université de Technologie de Compiègne, France

    2 publications · 62 citations

    2

    h-index

  5. MJ
    Ming J. Zuo

    University of Alberta, Canada

    2 publications · 215 citations

    2

    h-index

1–5 of 72

Venues

  1. IEEE Transactions on Signal Processing

    4 publications · 647 citations

    4

    h-index

  2. IEEE Sensors Journal

    2 publications · 133 citations

    2

    h-index

  3. IEEE/ASME Transactions on Mechatronics

    1 publications · 55 citations

    1

    h-index

  4. Railway Engineering Science

    1 publications · 30 citations

    1

    h-index

  5. ISA Transactions

    1 publications · 137 citations

    1

    h-index

1–5