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The construction of finite tight Gabor frames plays an important role in many applications. These applications include significant ones in signal and image processing. We explore when constant amplitude zero autocorrelation (CAZAC)…

Functional Analysis · Mathematics 2016-12-30 Mark Magsino

We introduce a projective Riesz $s$-kernel for the unit sphere $\mathbb{S}^{d-1}$ and investigate properties of $N$-point energy minimizing configurations for such a kernel. We show that these configurations, for $s$ and $N$ sufficiently…

Metric Geometry · Mathematics 2020-11-09 Xuemei Chen , Douglas P. Hardin , Edward B. Saff

Finite tight frames for polynomial subspaces are constructed using monic Hahn polynomials and Krawtchouk polynomials of several variables. Based on these polynomial frames, two methods for constructing tight frames for the Euclidean spaces…

Classical Analysis and ODEs · Mathematics 2014-03-04 Yuan Xu

The method of alternation projections (MAP) is an iterative procedure for finding the projection of a point on the intersection of closed subspaces of an Hilbert space. The convergence of this method is usually slow, and several methods for…

Numerical Analysis · Mathematics 2013-02-04 Claude Brezinski , Michela Redivo-Zaglia

The Kaczmarz algorithm is an iterative method for solving systems of linear equations. We introduce a modified Kaczmarz algorithm for solving systems of linear equations in a distributed environment, i.e. the equations within the system are…

Numerical Analysis · Mathematics 2019-04-12 Chinmay Hegde , Fritz Keinert , Eric S. Weber

Due to their flexibility, frames of Hilbert spaces are attractive alternatives to bases in approximation schemes for problems where identifying a basis is not straightforward or even feasible. Computing a best approximation using frames,…

Numerical Analysis · Mathematics 2020-07-08 Ben Adcock , Mohsen Seifi

We apply Lax-Milgram theorem to characterize scalable and piecewise scalable frame in finite and infinite-dimensional Hilbert spaces. We also introduce a method for approximating the inverse frame operator using finite-dimensional linear…

Functional Analysis · Mathematics 2022-12-05 Laura De Carli , Pierluigi Vellucci

Atomic system in fuzzy Hilbert space is introduced and the existence of the fuzzy atomic systems for a strongly fuzzy bounded linear operator is studied. The notion of a K-frame in fuzzy Hilbert space is presented and some of their…

General Mathematics · Mathematics 2025-06-17 Prasenjit Ghosh , Jayanta Ghosh , T. K. Samanta

Finite frame theory has become a powerful tool for many applications of mathematics. In this paper we introduce a new area of research in frame theory: Integer frames. These are frames having all integer coordinates with respect to a fixed…

Functional Analysis · Mathematics 2015-10-26 Peter G. Casazza , Richard G. Lynch , Janet C. Tremain , Lindsey M. Woodland

In this paper, our aim is to introduce the concept of a frame in n-Hilbert space and describe some of their properties. We further discuss tight frame relative to n-Hilbert space. At the end, we study the relationship between frame and…

Functional Analysis · Mathematics 2021-09-09 Prasenjit Ghosh , T. K. Samanta

Naimark complements for Hilbert space Parseval frames are one of the most fundamental and useful results in the field of frame theory. We will show that actually all Hilbert space frames have Naimark complements which possess all the usual…

Functional Analysis · Mathematics 2013-04-23 Peter G. Casazza , Matt Fickus , Dustin Mixon , Jess Peterson , Ihar Smalyanau

We solve the problem of best approximation by Parseval frames to an arbitrary frame in a subspace of an infinite dimensional Hilbert space. We explicitly describe all the solutions and we give a criterion for uniqueness. This best…

Functional Analysis · Mathematics 2017-11-27 Eduardo Chiumiento

We introduce the notion of equiangular tight frames in real symplectic spaces and formulate a conjecture on their existence in terms of the dimension and number of vectors. Our main results shows the "symplectic Zauner's conjecture" is…

Functional Analysis · Mathematics 2025-09-19 Kean Fallon

In this present paper we introduce weaving Hilbert space frames in the continuous case, we give new approaches for manufacturing pairs of woven continuous frames and we obtain new properties in continuous weaving frame theory related to…

Functional Analysis · Mathematics 2023-05-08 Hafida Massit , Mohamed Rossafi , Samir Kabbaj

In this paper we will look at the connection of frames and finite dimensionality. A main focus is to present simple algorithms and make them available online. The main result is a way to 'switch' between different frames, giving an…

Functional Analysis · Mathematics 2009-02-12 Peter Balazs

A randomized subspace action algorithm is investigated for fusion frame signal recovery problems. It is noted that Kaczmarz bounds provide upper bounds on the algorithm's error moments. The main question of which probability distributions…

Numerical Analysis · Mathematics 2015-04-24 Xuemei Chen , Alexander Powell

We investigate the convergence properties of exact and inexact forward-backward algorithms to minimise the sum of two weakly convex functions defined on a Hilbert space, where one has a Lipschitz-continuous gradient. We show that the exact…

Optimization and Control · Mathematics 2024-06-24 Ewa Bednarczuk , Giovanni Bruccola , Gabriele Scrivanti , The Hung Tran

Frames play an important role in various practical problems related to signal and image processing. In this paper, we define computable frames in computable Hilbert spaces and obtain computable versions of some of their characterizations.…

Functional Analysis · Mathematics 2018-01-12 Poonam Mantry , S. K. Kaushik

This is a short introduction to Hilbert space frame theory and its applications for those outside the area who want to enter the subject. We will emphasize finite frame theory since it is the easiest way to get into the subject.

Functional Analysis · Mathematics 2016-02-16 Peter G. Casazza , Richard G. Lynch

The Kaczmarz method is an iterative method for solving large systems of equations that projects iterates orthogonally onto the solution space of each equation. In contrast to direct methods such as Gaussian elimination or QR-factorization,…

Numerical Analysis · Computer Science 2013-09-30 Noreen Jamil , Deanna Needell , Johannes Muller , Christof Lutteroth , Gerald Weber