Abstract:We introduce probabilistic frames to study finite frames whose elements are
chosen at random. While finite tight frames generalize orthonormal bases by
allowing redundancy, independent, uniformly distributed points on the sphere
approximately form a finite unit norm tight frame (FUNTF). In the present
paper, we develop probabilistic versions of tight frames and FUNTFs to
significantly weaken the requirements on the random choice of points to obtain
an approximate finite tight frame. Namely, points can be chose… Show more
“…In this paper, we are concerned with a different generalization of frames called probabilistic frames. Developed in a series of papers [8,10,9], probabilistic frames are an intuitive way to generalize finite frames to the space of probability measures with finite second moment. The probabilistic setting is particularly compelling, given recent interest in probabilistic approaches to optimal coding, such as [15,20].…”
Section: Probabilistic Frames In the Wasserstein Metricmentioning
Probabilistic frames are a generalization of finite frames into the Wasserstein space of probability measures with finite second moment. We introduce new probabilistic definitions of duality, analysis, and synthesis and investigate their properties. In particular, we formulate a theory of transport duals for probabilistic frames and prove certain properties of this class. We also investigate paths of probabilistic frames, identifying conditions under which geodesic paths between two such measures are themselves probabilistic frames. In the discrete case this is related to ranks of convex combinations of matrices, while in the continuous case this is related to the continuity of the optimal transport plan.
“…In this paper, we are concerned with a different generalization of frames called probabilistic frames. Developed in a series of papers [8,10,9], probabilistic frames are an intuitive way to generalize finite frames to the space of probability measures with finite second moment. The probabilistic setting is particularly compelling, given recent interest in probabilistic approaches to optimal coding, such as [15,20].…”
Section: Probabilistic Frames In the Wasserstein Metricmentioning
Probabilistic frames are a generalization of finite frames into the Wasserstein space of probability measures with finite second moment. We introduce new probabilistic definitions of duality, analysis, and synthesis and investigate their properties. In particular, we formulate a theory of transport duals for probabilistic frames and prove certain properties of this class. We also investigate paths of probabilistic frames, identifying conditions under which geodesic paths between two such measures are themselves probabilistic frames. In the discrete case this is related to ranks of convex combinations of matrices, while in the continuous case this is related to the continuity of the optimal transport plan.
Abstract. This paper continues the investigation of nonorthogonal fusion frames started in [7]. First we show that tight nonorthogonal fusion frames a relatively easy to com by. In order to do this we need to establish a classification of how to to wire a self adjoint operator as a product of (nonorthogonal) projection operators. We also discuss the link between nonorthogonal fusion frames and positive operator valued measures, we define and study a nonorthogonal fusion frame potential, and we introduce the idea of random nonorthogonal fusion frames.
“…Benedetto and Fickus (2003) characterized the class of finite unit norm tight frames as minimizers of a certain functional, the so-called frame potential. Ehler (2011) and Ehler and Okoudjou (2011) created probabilistic versions of the frame potential, and Ehler and Galanis (2011) showed their applicability in directional statistics. In our work, we adapt a functional from Benedetto et al (2010) by introducing a weighted mean of the frame potential and a data-fitting term.…”
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