Subspace Filtering

Subspace Filtering is a data filtering methodology that operates within a reduced-dimensional space—formed by selecting or transforming a subset of features or variables—to enhance the relevance and accuracy of results by focusing on specific subspaces of the overall data structure.

269

Publications

15.4K

Citations

644

Authors

318

Institutions

Publications per year

2017–2026

39

Authors

644

  1. JG
    J.S. Goldstein

    Science Applications International Corporation (United States), United States

    6 publications · 1.7K citations

    6

    h-index

  2. WL
    Weijian Liu

    Wuhan Branch of the National Science Library, China

    5 publications · 160 citations

    5

    h-index

  3. PL
    Philippe Loubaton

    Télécom Paris, France

    5 publications · 123 citations

    5

    h-index

  4. KA
    Karim Abed‐Meraim

    Télécom Paris, France

    5 publications · 210 citations

    5

    h-index

  5. YH
    Yingbo Hua

    University of California, Riverside, United States

    4 publications · 238 citations

    4

    h-index

1–5 of 644

Venues

  1. IEEE Transactions on Signal Processing

    34 publications · 2.2K citations

    23

    h-index

  2. Signal Processing

    16 publications · 1.2K citations

    12

    h-index

  3. 8

    h-index

  4. IEEE Transactions on Biomedical Engineering

    5 publications · 139 citations

    5

    h-index

  5. Digital Signal Processing

    4 publications · 166 citations

    4

    h-index

1–5