activity
20032025
most citedExact Reconstruction of Spatially Undersampled Signals in Evolutionary Systems

55 citations · 119 across the 28 of their papers we have counts for

collaborators

36 papers

math.FA2025

Dynamical Sampling: A Survey

Akram Aldroubi, Carlos Cabrelli, Ilya Krishtal +1

Dynamical sampling refers to a class of problems in which space-time samples are taken from a signal evolving under an underlying dynamical system. The goal is to use these samples…

cs.IT2024

Reconstructing Graph Signals from Noisy Dynamical Samples

Akram Aldroubi, Victor Bailey, Ilya Krishtal +2

We investigate the dynamical sampling space-time trade-off problem within a graph setting. Specifically, we derive necessary and sufficient conditions for space-time sampling that…

math.CA2024

Periodic Source Detection in Discrete Dynamical Systems via space-time sampling

Akram Aldroubi, Carlos Cabrelli, Ursula Molter

In this paper, we examine a discrete dynamical system defined by x(n+1) = Ax(n)+ w(n), where x takes values in a Hilbert space H and w is a periodic source with values in a fixed c…

math.DS2024

Reconstruction algorithms for source term recovery from dynamical samples in catalyst models

Akram Aldroubi, Le Gong, Ilya Krishtal +2

This paper investigates the problem of recovering source terms in abstract initial value problems (IVP) commonly used to model various scientific phenomena in physics, chemistry, e…

math.DS2024★ 1 cited

Characterization of frames for source recovery from dynamical samples

Akram Aldroubi, Rocio Diaz Martin, Le Gong +2

In this paper, we address the problem of recovering constant source terms in a discrete dynamical system represented by , where is the -th state in a H…

math.DS2023

Dynamical Sampling for the Recovery of Spatially Constant Source Terms in Dynamical Systems

Akram Aldroubi, Rocio Diaz Martin, Ivan Medri

In this paper, we investigate the problem of source recovery in a dynamical system utilizing space-time samples. This is a specific issue within the broader field of dynamical samp…