On the structure of multivariate Gabor systems and a result on Gaussian Gabor frames
Michael Gjertsen, Franz Luef

TL;DR
This paper characterizes the structure of multivariate Gabor systems using symplectic forms, classifies lattices by equivalence, and extends Gaussian Gabor frame results to higher dimensions, revealing deep geometric insights.
Contribution
It introduces an equivalence relation on lattices based on symplectic transformations, reducing the complexity of Gabor system classification and extending Gaussian frame theory to higher dimensions.
Findings
Equivalent lattices support identical Gabor structures
Symplectic transformations uniquely characterize structure-preserving maps
Higher-dimensional Gaussian Gabor frame conditions established
Abstract
We introduce an equivalence relation on the set of lattices in such that equivalent lattices support identical structures of Gabor systems, up to unitary equivalence, a notion we define. These equivalence classes are parameterized by symplectic forms on and they consist of lattices related by symplectic transformations. This implies that parameters suffice to describe the possible structures of Gabor systems over lattices in , as opposed to the degrees of freedom in the choice of lattice. We also prove that (modulo a minor complication related to complex conjugation) symplectic transformations are the only linear transformations of the time-frequency plane which implement equivalences of this kind, thereby characterizing symplectic transformations as the structure-preserving transformations of the time-frequency…
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Taxonomy
TopicsMathematical Analysis and Transform Methods · Image and Signal Denoising Methods · Image Retrieval and Classification Techniques
