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Beurling Dimension of Gabor Pseudoframes for Affine Subspaces
Authors:Wojciech Czaja  Gitta Kutyniok  Darrin Speegle
Institution:(1) Institute of Mathematics, University of Wrocław, Pl. Grunwaldzki 2/4, 50-384 Wrocław, Poland;(2) Department of Mathematics, University of Maryland, College Park, MD 20742, USA;(3) Department of Statistics, Stanford University, Stanford, CA 94305, USA;(4) Department of Mathematics and Computer Science, Saint Louis University, 221 North Grand Blvd., St. Louis, MO 63103, USA
Abstract:Pseudoframes for subspaces have been recently introduced by Li and Ogawa as a tool to analyze lower dimensional data with arbitrary flexibility of both the analyzing and the dual sequence. In this paper we study Gabor pseudoframes for affine subspaces by focusing on geometrical properties of their associated sets of parameters. We first introduce a new notion of Beurling dimension for discrete subsets of ℝ d by employing a certain generalized Beurling density. We present several properties of Beurling dimension including a comparison with other notions of dimension showing, for instance, that our notion includes the mass dimension as a special case. Then we prove that Gabor pseudoframes for affine subspaces satisfy a certain Homogeneous Approximation Property, which implies invariance under time–frequency shifts of an approximation by elements from the pseudoframe. The main result of this paper is a classification of Gabor pseudoframes for affine subspaces by means of the Beurling dimension of their sets of parameters. This provides us, in particular, with a Nyquist dimension which separates sets of parameters of pseudoframes from those of non-pseudoframes and which links a fixed value to sets of parameters of pseudo-Riesz sequences. These results are even new for the special case of Gabor frames for an affine subspace.
Keywords:Beurling density  Beurling dimension  Frame  Gabor system  Discrete Hausdorff dimension  Homogeneous Approximation Property  Mass dimensions  Nyquist density  Pseudoframe  Pseudoframe for subspaces
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