Spectral Analysis Of Random Fields

Spectral Analysis of Random Fields is a mathematical framework that characterizes the second-order statistical properties of a spatial random field by decomposing its covariance structure into frequency components via Fourier analysis, thereby enabling the study of spatial dependence patterns in the spectral domain.

153

Publications

7.9K

Citations

269

Authors

177

Institutions

Publications per year

2017–2026

18

Authors

269

  1. EW
    Emil Wolf

    University of Rochester, United States

    7 publications · 226 citations

    7

    h-index

  2. OK
    Olga Korotkova

    University of Miami, United States

    6 publications · 364 citations

    6

    h-index

  3. ZM
    Zhangrong Mei

    Huzhou University, China

    3 publications · 153 citations

    3

    h-index

  4. XE
    Xavier Emery

    University of Chile, Chile

    3 publications · 41 citations

    3

    h-index

  5. AT
    Ari T. Friberg

    University of Eastern Finland, Finland

    3 publications · 294 citations

    3

    h-index

1–5 of 269

Venues

  1. Journal of the Optical Society of America A

    5 publications · 382 citations

    5

    h-index

  2. IEEE Transactions on Information Theory

    5 publications · 215 citations

    5

    h-index

  3. Optics Letters

    5 publications · 315 citations

    5

    h-index

  4. Geophysical Journal International

    GJI · 4 publications · 261 citations

    4

    h-index

  5. Journal of Engineering Mechanics

    4 publications · 147 citations

    4

    h-index

1–5