Sampling Frequency Selection

Sampling Frequency Selection is a methodological framework in high-frequency data analysis that determines the optimal rate at which data points are collected over time, distinguishing itself from related sampling techniques by specifically addressing the trade-off between temporal resolution and noise amplification in continuous-time stochastic processes.

183

Publications

6.7K

Citations

578

Authors

257

Institutions

Publications per year

2017–2026

32

Authors

578

  1. MV
    Miguel Valcárcel

    University of Córdoba, Spain

    5 publications · 105 citations

    5

    h-index

  2. IC
    Ignacio Carugati

    National University of Mar del Plata, Argentina

    3 publications · 338 citations

    3

    h-index

  3. MD
    M. D. Luque de Castro

    University of Córdoba, Spain

    3 publications · 58 citations

    3

    h-index

  4. DC
    Daniel Carrica

    National University of Mar del Plata, Argentina

    3 publications · 338 citations

    3

    h-index

  5. FL
    F. Lázaro

    University of Córdoba, Spain

    3 publications · 74 citations

    3

    h-index

1–5 of 578

Venues

  1. The Analyst

    10 publications · 235 citations

    10

    h-index

  2. IEEE Transactions on Signal Processing

    5 publications · 183 citations

    5

    h-index

  3. IEEE Transactions on Power Delivery

    4 publications · 726 citations

    4

    h-index

  4. Sensors

    3 publications · 65 citations

    3

    h-index

  5. IEEE Signal Processing Letters

    3 publications · 106 citations

    3

    h-index

1–5