Statistical Background Discrimination

Statistical Background Discrimination is a computational method in signal processing and data analysis that distinguishes target signals from background noise by leveraging statistical properties to enhance signal detectability against stochastic backgrounds.

17

Publications

440

Citations

61

Authors

31

Institutions

Publications per year

2017–2026

3

Authors

61

  1. IF
    Ivan Furic

    Istituto Nazionale di Fisica Nucleare, Sezione di Roma I, Italy

    1 publications · 20 citations

    1

    h-index

  2. KD
    Kenneth D. Morton

    Duke University, United States

    1 publications · 30 citations

    1

    h-index

  3. CG
    C. Guerrero

    Universidad de Sevilla, Spain

    1 publications · 14 citations

    1

    h-index

  4. PT
    Pedro Talavera

    Universitat Politècnica de Catalunya, Spain

    1 publications · 13 citations

    1

    h-index

  5. LB
    Lukas Bucher

    University of Lausanne, Switzerland

    1 publications · 44 citations

    1

    h-index

1–5 of 61

Venues

  1. 1

    h-index

  2. National Bureau of Economic Research

    Repository · 1 publications · 14 citations

    1

    h-index

  3. 1

    h-index

  4. The Analyst

    1 publications · 13 citations

    1

    h-index

  5. Bioinformatics

    1 publications · 49 citations

    1

    h-index

1–5