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
7
1–5 of 7
17
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 17
10
National Institute of Transport
Dar es Salaam, Tanzania
1 h-index
1 publications
17 citations
Educational Testing Service
Princeton, United States
1 h-index
4 publications
448 citations
Hofstra University
Hempstead, United States
1 h-index
1 publications
19 citations
University of Illinois Chicago
Chicago, United States
1 h-index
1 publications
112 citations
University of Pennsylvania
Philadelphia, United States
1 h-index
3 publications
597 citations
Florida State University
Tallahassee, United States
1 h-index
1 publications
112 citations
Université Libre de Bruxelles
Brussels, Belgium
1 h-index
1 publications
22 citations

University of Aberdeen
Aberdeen, United Kingdom
1 h-index
1 publications
22 citations
1–8 of 10
1 publications · 199 citations
1
h-index
1 publications · 112 citations
1
h-index
ETE · 1 publications · 22 citations
1
h-index
1 publications · 17 citations
1
h-index
1 publications · 19 citations
1
h-index
1–5