Cyclostationary Processes

Cyclostationary Processes is a stochastic process whose statistical properties vary cyclically with time, exhibiting periodic stationarity in which the mean, autocovariance, and higher-order moments are periodic functions of time rather than constant as in strictly stationary processes.

490

Publications

24.7K

Citations

961

Authors

430

Institutions

Publications per year

2017–2026

98

Variants

Cyclostationary Stochastic Processes

Authors

961

  1. WA
    William A. Gardner

    University of California, Davis, United States

    27 publications · 4.7K citations

    23

    h-index

  2. AN
    Antonio Napolitano

    Parthenope University of Naples, Italy

    16 publications · 1.7K citations

    14

    h-index

  3. GB
    Georgios B. Giannakis

    University of Minnesota, United States

    11 publications · 1.7K citations

    11

    h-index

  4. CM
    Chad M. Spooner

    Northwest Research Associates, United States

    9 publications · 1.2K citations

    10

    h-index

  5. JA
    Jérôme Antoni

    Institut National des Sciences Appliquées de Lyon, France

    9 publications · 1.1K citations

    10

    h-index

1–5 of 961

Venues

  1. IEEE Transactions on Signal Processing

    48 publications · 3.3K citations

    29

    h-index

  2. Mechanical Systems and Signal Processing

    MSSP · 18 publications · 1.5K citations

    18

    h-index

  3. IEEE Transactions on Communications

    19 publications · 1.5K citations

    18

    h-index

  4. Signal Processing

    24 publications · 2.3K citations

    17

    h-index

  5. IEEE Transactions on Information Theory

    13 publications · 1.4K citations

    13

    h-index

1–5