Noise Model Estimation

Noise Model Estimation is the systematic process of identifying and characterizing the statistical properties of disturbances or unmeasured influences in a dynamic system, distinguished from other system identification components by its exclusive focus on modeling the structure and parameters of the noise affecting observed data.

432

Publications

22.1K

Citations

1.3K

Authors

546

Institutions

Publications per year

2017–2026

107

Authors

1.3K

  1. MC
    Miguel Colom

    Center for MathematicaL studies and their Applications, France

    10 publications · 651 citations

    10

    h-index

  2. JM
    Jean‐Michel Morel

    École Normale Supérieure Paris-Saclay, France

    9 publications · 700 citations

    9

    h-index

  3. AB
    Antoni Buades

    Universitat de les Illes Balears, Spain

    8 publications · 365 citations

    8

    h-index

  4. RP
    Rik Pintelon

    Vrije Universiteit Brussel, Belgium

    7 publications · 518 citations

    7

    h-index

  5. JS
    J. Schoukens

    Vrije Universiteit Brussel, Belgium

    6 publications · 489 citations

    6

    h-index

1–5 of 1.3K

Venues

  1. IEEE Transactions on Image Processing

    11 publications · 1.5K citations

    11

    h-index

  2. IEEE Transactions on Signal Processing

    10 publications · 459 citations

    10

    h-index

  3. arXiv (Cornell University)

    Repository · 10 publications · 334 citations

    10

    h-index

  4. 6

    h-index

  5. Bioinformatics

    6 publications · 340 citations

    6

    h-index

1–5