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Motivated by recent work in Dynamical Sampling, we prove a necessary and sufficient condition for a frame in a separable and infinite-dimensional Hilbert space to admit the form $\{T^{n} \varphi \}_{n \geq 0}$ with $T \in B(H)$. Also, a…

Functional Analysis · Mathematics 2024-07-03 Victor Bailey

Fusion frames are a convenient tool in applications where we deal with a large amount of data or when a combination of local data is needed. Oblique dual fusion frames are suitable in situations where the analysis for the data and its…

Functional Analysis · Mathematics 2024-01-31 Jorge P. Díaz , Sigrid B. Heineken , Patricia M. Morillas

The richness of natural images makes the quest for optimal representations in image processing and computer vision challenging. The latter observation has not prevented the design of image representations, which trade off between efficiency…

Computer Vision and Pattern Recognition · Computer Science 2011-10-27 Laurent Jacques , Laurent Duval , Caroline Chaux , Gabriel Peyré

In the recent work arXiv:2112.10289 we introduced a geometric decomposition of meanders. In the present paper, we generalize this approach to the case of singular meanders and give a more algebraic description of this decomposition.

Combinatorics · Mathematics 2022-07-01 Yury Belousov

Comparison of stellar catalogues with position and proper motion components using a decomposition on a set of orthogonal vector spherical harmonics. We show the theoretical and practical advantages of this technique as a result of…

Instrumentation and Methods for Astrophysics · Physics 2015-06-05 Francois Mignard , Sergei Klioner

Deconvolution of the telescope Point Spread Function (PSF) is necessary for even moderate dynamic range imaging with interferometric telescopes. The process of deconvolution can be treated as a search for a model image such that the…

Astrophysics · Physics 2009-11-10 S. Bhatnagar , T. J. Cornwell

Sparse decomposition has been extensively used for different applications including signal compression and denoising and document analysis. In this paper, sparse decomposition is used for image segmentation. The proposed algorithm separates…

Computer Vision and Pattern Recognition · Computer Science 2016-11-18 Shervin Minaee , Amirali Abdolrashidi , Yao Wang

We consider three-dimensional elastic frames constructed out of Euler--Bernoulli beams and describe a simple process of generating joint conditions out of the geometric description of the frame. The corresponding differential operator is…

Analysis of PDEs · Mathematics 2022-02-03 Gregory Berkolaiko , Mahmood Ettehad

The core of quantum tomography is the possibility of writing a generally unbounded complex operator in form of an expansion over operators that are generally nonlinear functions of a generally continuous set of spectral densities--the…

Quantum Physics · Physics 2015-05-13 G. M. D'Ariano , M. F. Sacchi

A novel approach is presented to recover an image degraded by atmospheric turbulence. Given a sequence of frames affected by turbulence, we construct a variational model to characterize the static image. The optimization problem is solved…

Computer Vision and Pattern Recognition · Computer Science 2024-11-05 Yu Mao , Jerome Gilles

A novel approach is presented in this paper to improve images which are altered by atmospheric turbulence. Two new algorithms are presented based on two combinations of a blind deconvolution block, an elastic registration block and a…

Computer Vision and Pattern Recognition · Computer Science 2024-11-13 Jerome Gilles , Tristan Dagobert , Carlo De Franchis

X-ray radiography is the most readily available imaging modality and has a broad range of applications that spans from diagnosis to intra-operative guidance in cardiac, orthopedics, and trauma procedures. Proper interpretation of the hidden…

Computer Vision and Pattern Recognition · Computer Science 2019-04-19 Shadi Albarqouni , Javad Fotouhi , Nassir Navab

Unsupervised localization and segmentation are long-standing computer vision challenges that involve decomposing an image into semantically-meaningful segments without any labeled data. These tasks are particularly interesting in an…

Computer Vision and Pattern Recognition · Computer Science 2022-05-17 Luke Melas-Kyriazi , Christian Rupprecht , Iro Laina , Andrea Vedaldi

Sparse decomposition has been widely used for different applications, such as source separation, image classification and image denoising. This paper presents a new algorithm for segmentation of an image into background and foreground text…

Computer Vision and Pattern Recognition · Computer Science 2016-12-22 Shervin Minaee , Yao Wang

Adaptive Optics is a prime example of how progress in observational astronomy can be driven by technological developments. At many observatories it is now considered to be part of a standard instrumentation suite, enabling ground-based…

Instrumentation and Methods for Astrophysics · Physics 2015-06-03 R. Davies , M. Kasper

The problem of detecting anomalies in time series from network measurements has been widely studied and is a topic of fundamental importance. Many anomaly detection methods are based on packet inspection collected at the network core…

Networking and Internet Architecture · Computer Science 2020-04-22 Ananda Streit , Gustavo H. A. Santos , Rosa Leão , Edmundo de Souza e Silva , Daniel Menasché , Don Towsley

This paper gives a geometric description of functional spaces related to Domain Decomposition techniques for computing solutions of Laplace and Helmholtz equations. Understanding the geometric structure of these spaces leads to algorithms…

Analysis of PDEs · Mathematics 2009-05-21 Mikhael Balabane

Let~$X=\Po/\Gamma$ be an~$n$-punctured sphere, $n>3$. We introduce and study~$n-3$ deformation operators on the space of modular forms~$M_*(\Gamma)$ based on the classical theory of uniformizing differential equations and accessory…

Number Theory · Mathematics 2021-08-24 Gabriele Bogo

This is the announcement, and the long summary, of a series of articles on the algorithmic study of Thurston maps. We describe branched coverings of the sphere in terms of group-theoretical objects called bisets, and develop a theory of…

Computational Complexity · Computer Science 2017-06-20 Laurent Bartholdi , Dzmitry Dudko

Composition is an important feature of a specification language, as it enables the design of a complex system in terms of a product of its parts. Decomposition is equally important in order to reason about structural properties of a system.…

Logic in Computer Science · Computer Science 2022-07-05 Benjamin Lion , Farhad Arbab , Carolyn Talcott
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