Results 11 to 20 of about 236,630 (266)

Balanced sparse model for tight frames in compressed sensing magnetic resonance imaging. [PDF]

open access: yesPLoS ONE, 2015
Compressed sensing has shown to be promising to accelerate magnetic resonance imaging. In this new technology, magnetic resonance images are usually reconstructed by enforcing its sparsity in sparse image reconstruction models, including both synthesis ...
Yunsong Liu   +6 more
doaj   +2 more sources

Entanglement witnesses and separability criteria based on generalized equiangular tight frames [PDF]

open access: yesScientific Reports
In quantum information theory, measurements are represented by positive, operator-valued measures. In this paper, we use the operators corresponding to generalized equiangular measurements to construct positive maps.
Katarzyna Siudzińska
doaj   +2 more sources

Scalable g-frame in Hilbert spaces [PDF]

open access: yesMathematics and Computational Sciences, 2023
Tight frames and g-frames are extremely useful in applications. A scalable frame was recentlyintroduced as a frame with the property of generating a tight frame by rescaling its frame vectors.
Amir Khosravi, Mohammad Reza Farmani
doaj   +1 more source

Unitary extension principle on zero-dimensional locally compact groups [PDF]

open access: yesИзвестия Саратовского университета. Новая серия: Математика. Механика. Информатика, 2023
In this article, we obtain methods for constructing step  tight frames on an arbitrary locally compact zero-dimensional group. To do this, we use the principle of unitary extension.
Lukomskii, Sergei Feodorovich   +1 more
doaj   +1 more source

Hadamard equiangular tight frames

open access: yesApplied and Computational Harmonic Analysis, 2021
An equiangular tight frame (ETF) is a type of optimal packing of lines in Euclidean space. They are often represented as the columns of a short, fat matrix. In certain applications we want this matrix to be flat, that is, have the property that all of its entries have modulus one.
Matthew Fickus   +3 more
openaire   +4 more sources

Supervised dual tight frame learning with deep thresholding network for phase retrieval

open access: yesIET Image Processing, 2022
Data‐driven tight frames are popular for solving imaging inverse problems. However, the imaging quality is limited by the representation ability of single tight frame and thresholds tuned manually.
Baoshun Shi, Qiusheng Lian, Yueming Su
doaj   +1 more source

Local Convergence of the Continuous and Semi-Discrete Wavelet Transform in Lp(R)

open access: yesMathematics, 2021
The smoothness of functions f in the space Lp(R) with ...
Jaime Navarro-Fuentes   +2 more
doaj   +1 more source

Equichordal Tight Fusion Frames

open access: yesIndian Journal of Pure and Applied Mathematics, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mohammadpour, Mozhgan   +2 more
openaire   +1 more source

A Brief Survey of the Graph Wavelet Frame

open access: yesComplexity, 2022
In recent years, the research of wavelet frames on the graph has become a hot topic in harmonic analysis. In this paper, we mainly introduce the relevant knowledge of the wavelet frames on the graph, including relevant concepts, construction methods, and
Jie Zhou, Zeze Zhang
doaj   +1 more source

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