Autoregressive Spectral Analysis

Autoregressive Spectral Analysis is a spectral estimation method that models a signal as the output of an autoregressive process to infer its power spectral density from the parameters of the linear prediction error filter.

248

Publications

17.7K

Citations

624

Authors

316

Institutions

Publications per year

2017–2026

13

Variants

Ar Spectral Estimation

Authors

624

  1. SK
    Steven Kay

    University of Rhode Island, United States

    8 publications · 493 citations

    8

    h-index

  2. PB
    P.M.T. Broersen

    Delft University of Technology, Netherlands

    6 publications · 253 citations

    6

    h-index

  3. SD
    S. de Waele

    Delft University of Technology, Netherlands

    6 publications · 253 citations

    6

    h-index

  4. DL
    Daniela Lucini

    University of Milan, Italy

    5 publications · 429 citations

    5

    h-index

  5. CN
    C.L. Nikias

    University of Southern California, United States

    5 publications · 364 citations

    5

    h-index

1–5 of 624

Venues

  1. 19

    h-index

  2. IEEE Transactions on Signal Processing

    16 publications · 365 citations

    12

    h-index

  3. Biometrika

    6 publications · 250 citations

    6

    h-index

  4. IEEE Transactions on Biomedical Engineering

    5 publications · 103 citations

    5

    h-index

  5. 4

    h-index

1–5