Abstract
In this chapter, we review some of the recent developments and prove new results concerning frames and Bessel systems generated by iterations of the form {A n g: g ∈ G, n = 0, 1, 2, …}, where A is a bounded linear operator on a separable complex Hilbert space \(\mathscr{H}\) and G is a countable set of vectors in \(\mathscr{H}\). 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 n f are coarsely sampled at each time level n, 0 ≤ 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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Acknowledgements
This work has been partially supported by NSF/DMS grant 1322099. Akram Aldroubi would like to thank Charlotte Avant and Barbara Corley for their attendance to the comfort and entertainment during the preparation of this manuscript.
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Aldroubi, A., Petrosyan, A. (2017). Dynamical Sampling and Systems from Iterative Actions of Operators. In: Pesenson, I., Le Gia, Q., Mayeli, A., Mhaskar, H., Zhou, DX. (eds) Frames and Other Bases in Abstract and Function Spaces. Applied and Numerical Harmonic Analysis. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-55550-8_2
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