Detection Theory

Detection Theory is a formal framework within signal processing that specifies the principles and mathematical models governing the optimal decision-making process for distinguishing between the presence and absence of a signal in noisy environments, particularly under uncertainty, within the context of passive sonar systems.

1.5K

Publications

105.8K

Citations

2.9K

Authors

1.1K

Institutions

Publications per year

2017–2026

207

Authors

2.9K

  1. JL
    Jun Liu

    University of Science and Technology of China, China

    19 publications · 1K citations

    18

    h-index

  2. WL
    Weijian Liu

    Wuhan Branch of the National Science Library, China

    18 publications · 993 citations

    17

    h-index

  3. DM
    David Middleton

    Loughborough University, United Kingdom

    14 publications · 912 citations

    13

    h-index

  4. LT
    Lawrence T. DeCarlo

    Columbia University, United States

    13 publications · 887 citations

    13

    h-index

  5. SK
    Steven Kay

    University of Rhode Island, United States

    14 publications · 842 citations

    13

    h-index

1–5 of 2.9K

Venues

  1. IEEE Transactions on Signal Processing

    68 publications · 4.6K citations

    33

    h-index

  2. IEEE Transactions on Information Theory

    72 publications · 3.6K citations

    30

    h-index

  3. The Journal of the Acoustical Society of America

    JASA · 54 publications · 2.8K citations

    27

    h-index

  4. 26

    h-index

  5. 20

    h-index

1–5