Frequency-based Feature Extraction

Frequency-Based Feature Extraction is a signal processing technique that belongs to the class of feature extraction methods, distinguished by its reliance on the analysis of frequency domain characteristics to identify and isolate salient features from raw data.

452

Publications

18.8K

Citations

1.5K

Authors

498

Institutions

Publications per year

2017–2026

227

Authors

1.5K

  1. XW
    Xing Wu

    Kunming University of Science and Technology, China

    4 publications · 369 citations

    4

    h-index

  2. TL
    Tao Liu

    Kunming University of Science and Technology, China

    4 publications · 249 citations

    4

    h-index

  3. HL
    Hua Li

    Kunming University of Science and Technology, China

    4 publications · 369 citations

    4

    h-index

  4. ZP
    Zhike Peng

    Shanghai Jiao Tong University, China

    4 publications · 202 citations

    4

    h-index

  5. GY
    Gui Yun Tian

    Newcastle University, United Kingdom

    4 publications · 114 citations

    4

    h-index

1–5 of 1.5K

Venues

  1. IEEE Access

    15 publications · 507 citations

    14

    h-index

  2. Mechanical Systems and Signal Processing

    MSSP · 11 publications · 663 citations

    13

    h-index

  3. Sensors

    13 publications · 368 citations

    12

    h-index

  4. 11

    h-index

  5. IEEE Sensors Journal

    7 publications · 279 citations

    8

    h-index

1–5