Dynamical Sampling and Systems from Iterative Actions of Operators

By Akram Aldroubi, Armenak Petrosyan. 2016

78 citations recorded by the source corpus.

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.

Subfields: Applied Mathematics, Computational Mechanics, Mathematical Physics

View Paper: https://www.semanticscholar.org/paper/bbad73389f0d0995c6a59aa60d73fd13e8dcdb21

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In Applied Mathematics

  1. Marzieh Hasannasab
  2. Ole W. Christensen
  3. Peter G. Casazza
  4. Norbert Kaiblinger
  5. Christopher Heil
  6. Karlheinz Gröchenig
  7. Gitta Kutyniok
  8. Yu Can Zhu

In Computational Mechanics

  1. Ole W. Christensen
  2. Marzieh Hasannasab

In Mathematical Physics

  1. Marzieh Hasannasab
  2. Ole W. Christensen

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