Sampling Theorems for Shift-invariant Spaces, Gabor Frames, and Totally Positive Functions
Karlheinz Gr\"ochenig, Jos\'e Luis Romero, Joachim St\"ockler

TL;DR
This paper establishes optimal sampling theorems and Gabor frame conditions for shift-invariant spaces generated by totally positive functions of Gaussian type, bridging sampling theory and Gabor analysis.
Contribution
It proves that separated sets with density greater than one are sampling sets for these spaces and solves an open problem on Gabor frames for totally positive functions.
Findings
Sampling sets with density > 1 are sufficient for sampling.
Gabor frames with phase-space shifts exist if and only if the lattice density is less than 1.
The results validate heuristic engineering approaches and connect sampling with Gabor analysis.
Abstract
We study nonuniform sampling in shift-invariant spaces and the construction of Gabor frames with respect to the class of totally positive functions whose Fourier transform factors as for (in which case is called totally positive of Gaussian type). In analogy to Beurling's sampling theorem for the Paley-Wiener space of entire functions, we prove that every separated set with lower Beurling density is a sampling set for the shift-invariant space generated by such a . In view of the known necessary density conditions, this result is optimal and validates the heuristic reasonings in the engineering literature. Using a subtle connection between sampling in shift-invariant spaces and the theory of Gabor frames, we show that the set of phase-space shifts of…
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