Signal Processing For Tomography

Signal Processing for Tomography is a specialized methodology within signal processing that integrates acoustic signal analysis, inversion techniques, and spatial reconstruction algorithms to extract tomographic images of a medium's internal properties from propagated wavefield measurements.

103

Publications

3.6K

Citations

329

Authors

172

Institutions

Publications per year

2017–2026

17

Authors

329

  1. HW
    Huaxiang Wang

    Tianjin University, China

    4 publications · 93 citations

    4

    h-index

  2. AT
    A. Tolstoy

    United States Naval Research Laboratory, United States

    3 publications · 205 citations

    3

    h-index

  3. XZ
    Xuehui Zhang

    University of Connecticut, United States

    3 publications · 43 citations

    3

    h-index

  4. FS
    Francesco Soldovieri

    Istituto per il Rilevamento Elettromagnetico dell'Ambiente, Italy

    3 publications · 101 citations

    3

    h-index

  5. ZC
    Ziqiang Cui

    Tianjin University, China

    3 publications · 73 citations

    3

    h-index

1–5 of 329

Venues

  1. IEEE Transactions on Medical Imaging

    5 publications · 182 citations

    5

    h-index

  2. Review of Scientific Instruments

    4 publications · 97 citations

    4

    h-index

  3. IEEE Transactions on Image Processing

    3 publications · 90 citations

    3

    h-index

  4. Computers & Geosciences

    CAGEO · 3 publications · 140 citations

    3

    h-index

  5. 3

    h-index

1–5