Scattering Transformation

Scattering Transformation is a mathematical signal processing framework that belongs to the class of time-frequency analysis methods, distinguished by its use of cascaded wavelet transforms and modulus nonlinearities to produce stable, invariant representations of non-stationary signals in the context of communication delay compensation.

45

Publications

2.7K

Citations

94

Authors

68

Institutions

Publications per year

2017–2026

13

Variants

Scattering Transform

Authors

94

  1. SM
    Stéphane Mallat

    École Polytechnique, France

    7 publications · 895 citations

    7

    h-index

  2. JA
    Joakim Andén

    Flatiron Institute

    5 publications · 859 citations

    5

    h-index

  3. VL
    Vincent Lostanlen

    New York University, United States

    5 publications · 220 citations

    5

    h-index

  4. JB
    Joan Bruna

    New York University, United States

    5 publications · 193 citations

    5

    h-index

  5. ME
    Michael Eickenberg

    Flatiron Health (United States), United States

    3 publications · 110 citations

    3

    h-index

1–5 of 94

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 207 citations

    6

    h-index

  2. Journal of Mathematical Physics

    2 publications · 143 citations

    2

    h-index

  3. Physical review. A, General physics

    2 publications · 189 citations

    2

    h-index

  4. IEEE Transactions on Signal Processing

    2 publications · 723 citations

    2

    h-index

  5. Entropy

    1 publications · 15 citations

    1

    h-index

1–5