Statistical Flagging

Statistical Flagging is a signal processing technique used in radio frequency interference mitigation that identifies corrupted data segments by statistically analyzing deviations from expected signal distributions, distinguishing itself through its reliance on probabilistic models to automatically detect anomalous measurements.

7

Publications

476

Citations

17

Authors

10

Institutions

Publications per year

2017–2026

1

Authors

17

  1. RC
    Rita Castro

    Deimos Engenharia (Portugal), Portugal

    1 publications · 56 citations

    1

    h-index

  2. AJ
    Adeniyi J. Adewale

    University of Alberta, Canada

    1 publications · 51 citations

    1

    h-index

  3. LS
    Leron Solomon

    Hofstra University, United States

    1 publications · 19 citations

    1

    h-index

  4. IP
    Insu Paek

    Florida State University, United States

    1 publications · 112 citations

    1

    h-index

  5. AM
    A. Meert

    University of Pennsylvania, United States

    1 publications · 199 citations

    1

    h-index

1–5 of 17

Venues

  1. 1

    h-index

  2. Applied Measurement in Education

    1 publications · 112 citations

    1

    h-index

  3. Emerging Themes in Epidemiology

    ETE · 1 publications · 22 citations

    1

    h-index

  4. Journal of Navigation

    1 publications · 17 citations

    1

    h-index

  5. Hofstra law review

    1 publications · 19 citations

    1

    h-index

1–5