Threshold Detection Theory

Threshold Detection Theory is a detection framework in signal processing that belongs to the class of decision-theoretic models, differentiating itself by establishing a fixed amplitude threshold to determine the presence or absence of a sonar signal in noisy underwater environments.

156

Publications

9.9K

Citations

397

Authors

225

Institutions

Publications per year

2017–2026

22

Authors

397

  1. DM
    David Middleton

    Loughborough University, United Kingdom

    5 publications · 358 citations

    5

    h-index

  2. NA
    Neil A. Macmillan

    Brooklyn College, United States

    4 publications · 999 citations

    4

    h-index

  3. AC
    Adán Cabello

    Universidad de Sevilla, Spain

    2 publications · 67 citations

    2

    h-index

  4. HL
    Howard L. Kaplan

    University of Toronto, Canada

    2 publications · 604 citations

    2

    h-index

  5. DB
    Dinabandhu Bhandari

    Indian Statistical Institute, India

    2 publications · 138 citations

    2

    h-index

1–5 of 397

Venues

  1. Pattern Recognition Letters

    8 publications · 403 citations

    8

    h-index

  2. IEEE Transactions on Information Theory

    6 publications · 200 citations

    6

    h-index

  3. 6

    h-index

  4. IEEE Transactions on Communications

    5 publications · 132 citations

    5

    h-index

  5. Psychological Bulletin

    4 publications · 999 citations

    4

    h-index

1–5