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Related papers: Fusion Frames and the Restricted Isometry Property

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Finite frames, or spanning sets for finite-dimensional Hilbert spaces, are a ubiquitous tool in signal processing. There has been much recent work on understanding the global structure of collections of finite frames with prescribed…

Functional Analysis · Mathematics 2023-09-14 Tom Needham , Clayton Shonkwiler

This paper is concerned with an important matrix condition in compressed sensing known as the restricted isometry property (RIP). We demonstrate that testing whether a matrix satisfies RIP is NP-hard. As a consequence of our result, it is…

Functional Analysis · Mathematics 2017-10-03 Afonso S. Bandeira , Edgar Dobriban , Dustin G. Mixon , William F. Sawin

Frame theory is a powerful tool in the domain of signal processing and communication. Among its numerous configurations, the ones which have drawn much attention recently are Equiangular Tight Frame (ETF) and Grassmannian Frame. These…

Information Theory · Computer Science 2013-07-02 Hailong Shi , Hao Zhang

Complex tight frames can be canonically viewed as elements of a complex Stiefel manifold. We present a class of spaces of such frames which are simply connected relative to the subspace topology. To this class belongs the space of finite…

Functional Analysis · Mathematics 2026-05-19 Augustin-Liviu Mare

The restricted isometry property (RIP) is essential for the linear map to guarantee the successful recovery of low-rank matrices. The existing works show that the linear map generated by the measurement matrices with independent and…

Information Theory · Computer Science 2024-05-08 Wei Zhang , Zhenni Wang

Equi-chordal and equi-isoclinic tight fusion frames (ECTFFs and EITFFs) are both types of optimal packings of subspaces in Euclidean spaces. In the special case where these subspaces are one-dimensional, ECTFFs and EITFFs both correspond to…

Functional Analysis · Mathematics 2017-08-30 Matthew Fickus , John Jasper , Dustin G. Mixon , Cody E. Watson

The restricted isometry property (RIP) for design matrices gives guarantees for optimal recovery in sparse linear models. It is of high interest in compressed sensing and statistical learning. This property is particularly important for…

Machine Learning · Computer Science 2016-06-01 Tengyao Wang , Quentin Berthet , Yaniv Plan

Many emerging applications involve sparse signals, and their processing is a subject of active research. We desire a large class of sensing matrices which allow the user to discern important properties of the measured sparse signal. Of…

Functional Analysis · Mathematics 2012-04-27 Dustin G. Mixon

We introduce a class of finite tight frames called prime tight frames and prove some of their elementary properties. In particular, we show that any finite tight frame can be written as a union of prime tight frames. We then characterize…

Functional Analysis · Mathematics 2012-07-31 Jakob Lemvig , Christopher Miller , Kasso A. Okoudjou

We discuss some specializations of the frames of flat orthonormal frame bundles over geometries of indefinite signature, and the resulting symmetries of families of embedded Riemannian or pseudo-Riemannian geometries. The specializations…

General Relativity and Quantum Cosmology · Physics 2013-02-18 Frank B. Estabrook

An equiangular tight frame (ETF) is a set of unit vectors whose coherence achieves the Welch bound, and so is as incoherent as possible. Though they arise in many applications, only a few methods for constructing them are known. Motivated…

Functional Analysis · Mathematics 2016-06-21 Matthew Fickus , John Jasper , Dustin G. Mixon , Jesse D. Peterson , Cody E. Watson

The desirable properties when constructing collections of subspaces often include the algebraic constraint that the projections onto the subspaces yield a resolution of the identity like the projections onto lines spanned by vectors of an…

Functional Analysis · Mathematics 2021-06-02 Emily J. King

Leveraging recent advances in additive combinatorics, we exhibit explicit matrices satisfying the Restricted Isometry Property with better parameters. Namely, for $\varepsilon=3.26\cdot 10^{-7}$, large $k$ and $k^{2-\varepsilon} \le N\le…

Combinatorics · Mathematics 2023-11-01 Kevin Ford , Denka Kutzarova , George Shakan

Matrices with the restricted isometry property (RIP) are of particular interest in compressed sensing. To date, the best known RIP matrices are constructed using random processes, while explicit constructions are notorious for performing at…

Functional Analysis · Mathematics 2014-03-17 Dustin G. Mixon

A cusp-decomposable manifold is a manifold constructed from a finite number of complete, negatively curved, finite volume manifolds and identifying the boundaries of truncated cusps by diffeomorphisms. Using properties of the electric space…

Geometric Topology · Mathematics 2020-10-09 Haydeé Contreras Peruyero

Recent technical advances lead to the coupling of PET and MRI scanners, enabling to acquire functional and anatomical data simultaneously. In this paper, we propose a tight frame based PET-MRI joint reconstruction model via the joint…

Numerical Analysis · Mathematics 2018-01-08 Jae Kyu Choi , Chenglong Bao , Xiaoqun Zhang

The concept of balancedly splittable orthogonal designs is introduced along with a recursive construction. As an application, equiangular tight frames over the real, complex, and quaternions meeting the Delsarte-Goethals-Seidel upper bound…

Combinatorics · Mathematics 2023-12-06 Hadi Kharaghani , Thomas Pender , Sho Suda

In this paper, we prove that the Paley graph conjecture implies that the Paley matrix has restricted isometry property (RIP) beating the square-root bottleneck for the sparsity level. Moreover, we show that the RIP of the Paley matrix…

Combinatorics · Mathematics 2020-11-09 Shohei Satake

This article introduces and studies the tight approximation property, a property of algebraic varieties defined over the function field of a complex or real curve that refines the weak approximation property (and the known cohomological…

Algebraic Geometry · Mathematics 2024-06-18 Olivier Benoist , Olivier Wittenberg

Models for near-rigid shape matching are typically based on distance-related features, in order to infer matches that are consistent with the isometric assumption. However, real shapes from image datasets, even when expected to be related…

Computer Vision and Pattern Recognition · Computer Science 2008-09-23 Julian J. McAuley , Tiberio S. Caetano , Alexander J. Smola