Matched Filtering

Matched Filtering is a signal detection method that belongs to the class of linear filters, distinguished by its design to maximize the signal-to-noise ratio at a specific observation point through correlation with a predefined template corresponding to the expected signal waveform.

1.1K

Publications

58.6K

Citations

4.6K

Authors

1.1K

Institutions

Publications per year

2017–2026

191

Authors

4.6K

  1. BS
    B. S. Sathyaprakash

    Cardiff University, United Kingdom

    7 publications · 955 citations

    7

    h-index

  2. BV
    B. V. K. Vijaya Kumar

    Carnegie Mellon University, United States

    7 publications · 191 citations

    7

    h-index

  3. BJ
    B. J. Owen

    Pennsylvania State University, United States

    7 publications · 1.4K citations

    7

    h-index

  4. GB
    Georgios B. Giannakis

    University of Minnesota, United States

    7 publications · 596 citations

    7

    h-index

  5. HL
    Hongbin Li

    Stevens Institute of Technology, United States

    7 publications · 201 citations

    7

    h-index

1–5 of 4.6K

Venues

  1. IEEE Transactions on Signal Processing

    37 publications · 3.7K citations

    25

    h-index

  2. Applied Optics

    40 publications · 2.8K citations

    23

    h-index

  3. 22

    h-index

  4. IEEE Transactions on Communications

    30 publications · 1.6K citations

    21

    h-index

  5. 20

    h-index

1–5