Dynamical sampling and systems from iterative actions of operators
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We review some of the recent developments and prove new results concerning frames and Bessel systems generated by iterations of the form $\{A^ng: g\in G,\, n=0,1,2,\dots \}$, where $A$ is a bounded linear operators on a separable complex Hilbert space $ \mathcal{H} $ and $G$ is a countable set of vectors in $ \mathcal{H} $. The system of iterations mentioned above was motivated from the so called dynamical sampling problem. In dynamical sampling, an unknown function $f$ and its future states $A^nf$ are coarsely sampled at each time level $n$, $0\leq n< L$, where $A$ is an evolution operator that drives the system. The goal is to recover $f$ from these space-time samples.
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Frames for source recovery from non-uniform dynamical samples
Necessary and sufficient conditions are given for source term recovery in finite and infinite iterations from non-uniform dynamical samples arising from spectral pairs in separable Hilbert spaces.
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