2011
DOI: 10.1007/s00041-011-9182-5
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Random Tight Frames

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

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Cited by 31 publications
(53 citation statements)
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“…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
confidence: 99%
“…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
confidence: 99%
“…Probabilistic versions of frames have been introduced in [11,12,13]. Here, we extend the concept to nonorthogonal fusion frames.…”
Section: Random Nonorthogonal Fusion Framesmentioning
confidence: 99%
“…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.…”
Section: Introductionmentioning
confidence: 99%