Adaptive Time-frequency Analysis

Adaptive Time-Frequency Analysis is a time-frequency analysis method that dynamically adjusts its transformation parameters or basis functions in response to local signal characteristics to achieve improved resolution and representation accuracy compared to fixed-window or non-adaptive techniques.

210

Publications

8.7K

Citations

515

Authors

264

Institutions

Publications per year

2017–2026

56

Authors

515

  1. SK
    Sridhar Krishnan

    Toronto Metropolitan University, Canada

    9 publications · 475 citations

    9

    h-index

  2. NA
    Nabeel Ali Khan

    Foundation University Islamabad, Pakistan

    7 publications · 192 citations

    7

    h-index

  3. DL
    Douglas L. Jones

    University of Illinois Urbana-Champaign, United States

    6 publications · 573 citations

    6

    h-index

  4. PD
    Piotr Durka

    University of Warsaw, Poland

    6 publications · 330 citations

    6

    h-index

  5. ZS
    Zuoqiang Shi

    Tsinghua University, China

    4 publications · 200 citations

    4

    h-index

1–5 of 515

Venues

  1. IEEE Transactions on Signal Processing

    13 publications · 1.1K citations

    12

    h-index

  2. IEEE Signal Processing Letters

    7 publications · 284 citations

    7

    h-index

  3. 6

    h-index

  4. Signal Processing

    5 publications · 231 citations

    5

    h-index

  5. 4

    h-index

1–5