Periodic source detection in discrete dynamical systems via space–time sampling
In this paper, we examine a discrete dynamical system defined by x ( n + 1 ) = A x ( n ) + w ( n ) , where x takes values in a Hilbert space H and w is a periodic source with values in a fixed closed subspace W of H . Our goal is to identify conditions on some spatial sampling system G = { g j } j ∈ J of H that enable stable recovery of the unknown source term w from space–time samples { 〈 x ( n ) , g j 〉 } n ≥ 0 , j ∈ J . We provide necessary and sufficient conditions on G = { g j } j ∈ J to ensure stable recovery of any w ∈ W . Additionally, we explicitly construct an operator R , dependent on G , such that R { 〈 x ( n ) , g j 〉 } n , j = w .
Authors
- Ursula Molter (ORCID: https://orcid.org/0000-0002-2928-9480)
- Akram Aldroubi (ORCID: https://orcid.org/0000-0002-3066-8357)
- Carlos Cabrelli (ORCID: https://orcid.org/0000-0002-6473-2636)
Institutions
- Consejo Nacional de Investigaciones Científicas y Técnicas (AR)
- Vanderbilt University (US)
- Universidad de Buenos Aires (AR)
- Centro Científico Tecnológico - San Juan (AR)
Publication Details
- Journal
- Expositiones Mathematicae
- Published
- 2025-09-25
- DOI
- https://doi.org/10.1016/j.exmath.2025.125730
- Citations
- 1
- Primary Topic
- Speech and Audio Processing
- Type
- article
- Field-Weighted Citation Impact
- 1.49