Sampling and interpolation in Bargmann-Fock spaces of polyanalytic functions

By Luís Daniel Abreu. 2009

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Using Gabor analysis, we give a complete characterization of all lattice sampling and interpolating sequences in the Fock space of polyanalytic functions, displaying a "Nyquist rate" which increases with $n$, the degree of polyanaliticity of the space. Such conditions are equivalent to sharp lattice density conditions for certain vector-valued Gabor systems, namely superframes and Gabor super-Riesz sequences with Hermite windows, and in the case of superframes they were studied recently by Gr\"{o}chenig and Lyubarskii. The proofs of our main results use variations of the Janssen-Ron-Shen duality principle and reveal a duality between sampling and interpolation in polyanalytic spaces, and multiple interpolation and sampling in analytic spaces. To connect these topics we introduce the\emph{polyanalytic Bargmann transform}, a unitary mapping between vector valued Hilbert spaces and polyanalytic Fock spaces, which extends the Bargmann transform to polyanalytic spaces. Motivated by this connection, we discuss a vector-valued version of the Gabor transform. These ideas have natural applications in the context of multiplexing of signals. We also point out that a recent result of Balan, Casazza and Landau, concerning density of Gabor frames, has important consequences for the Gr\"{o}chenig-Lyubarskii conjecture on the density of Gabor frames with Hermite windows.

Subfields: Applied Mathematics, Signal Processing

View Paper: https://www.semanticscholar.org/paper/b5bae026ea94374b264c2ab5d2628905ea3dcd3f