Modal Array Processing

Modal Array Processing is a signal processing framework that exploits the modal decomposition of wavefields in structured sensor arrays to enhance spatial resolution and source estimation by differentiating multipath components through orthogonal mode excitation.

15

Publications

584

Citations

39

Authors

23

Institutions

Publications per year

2017–2026

1

Authors

39

  1. TC
    T. C. Yang

    United States Naval Research Laboratory, United States

    2 publications · 91 citations

    2

    h-index

  2. TD
    Thushara D. Abhayapala

    Australian National University, Australia

    2 publications · 74 citations

    2

    h-index

  3. CQ
    Cheng Qian

    City University of Hong Kong, Hong Kong SAR China

    1 publications · 78 citations

    1

    h-index

  4. WK
    Walter Kellermann

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    1 publications · 135 citations

    1

    h-index

  5. AK
    Andrey K. Morozov

    Woods Hole Oceanographic Institution, United States

    1 publications · 11 citations

    1

    h-index

1–5 of 39

Venues

  1. The Journal of the Acoustical Society of America

    JASA · 7 publications · 347 citations

    7

    h-index

  2. IEEE Transactions on Signal Processing

    2 publications · 115 citations

    2

    h-index

  3. 1

    h-index

  4. OhioLink ETD Center (Ohio Library and Information Network)

    Repository · 1 publications · 11 citations

    1

    h-index

  5. Annals of Nuclear Energy

    1 publications · 10 citations

    1

    h-index

1–5