Parametric Spectral Estimation

Parametric Spectral Estimation is a method of spectral analysis that models a signal as the output of a linear system driven by white noise, differing from nonparametric approaches by assuming a specific parametric form for the signal's generating process to achieve higher resolution and reduced variance in frequency domain estimation.

84

Publications

7.5K

Citations

205

Authors

109

Institutions

Publications per year

2017–2026

11

Authors

205

  1. FG
    Fulvio Gini

    University of Pisa, Italy

    5 publications · 630 citations

    5

    h-index

  2. FL
    F. Lombardini

    University of Pisa, Italy

    4 publications · 287 citations

    4

    h-index

  3. AN
    Arye Nehorai

    Washington University in St. Louis, United States

    3 publications · 736 citations

    3

    h-index

  4. PB
    Peter Bloomfield

    North Carolina State University, United States

    2 publications · 56 citations

    2

    h-index

  5. PF
    P.J. Fish

    Bangor University, United Kingdom

    2 publications · 38 citations

    2

    h-index

1–5 of 205

Venues

  1. IEEE Transactions on Signal Processing

    8 publications · 303 citations

    8

    h-index

  2. 5

    h-index

  3. 4

    h-index

  4. 3

    h-index

  5. Biometrika

    3 publications · 85 citations

    3

    h-index

1–5