Anne Pein

activity

20172022

most citedAnalysis vs. synthesis sparsity for

α

-shearlets

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

math.PR2022

Parabolic Anderson model on critical Galton-Watson trees in a Pareto environment

Eleanor Archer, Anne Pein

The parabolic Anderson model is the heat equation with some extra spatial randomness. In this paper we consider the parabolic Anderson model with i.i.d. Pareto potential on a criti…

math.PR2019

Random Attractors for Stochastic Partly Dissipative Systems

Christian Kuehn, Alexandra Neamtu, Anne Pein

We prove the existence of a global random attractor for a certain class of stochastic partly dissipative systems. These systems consist of a partial (PDE) and an ordinary different…

math.FA2017★ 1 cited

Analysis vs. synthesis sparsity for $α$ -shearlets

Felix Voigtlaender, Anne Pein

There are two notions of sparsity associated to a frame $Ψ = (ψ_{i})_{i \in I}$ : Analysis sparsity of $f$ means that the analysis coefficients $(⟨ f, ψ_{i} ⟩)_{i}$ are sparse, whi…

Parabolic Anderson model on critical Galton-Watson trees in a Pareto environment

Random Attractors for Stochastic Partly Dissipative Systems

Analysis vs. synthesis sparsity for α-shearlets

Analysis vs. synthesis sparsity for $α$ -shearlets