Results 91 to 100 of about 138,468 (211)
Deep‐Learning‐Based Image Reconstruction to Improve End‐Diastolic and Systolic Cardiac T1 Mapping
ABSTRACT Purpose To develop an image reconstruction method that enables increased spatial resolution cardiac T1 mapping in both the end‐diastolic and systolic phase, that shows high T1 agreement with the clinical standard. The resolution gain is achieved by increasing the acceleration rate of MOLLI single‐shot images to R = 4, while maintaining a ...
Daniel Amsel +10 more
wiley +1 more source
Several matrix trace inequalities on Hermitian and skew-Hermitian matrices [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gao, Xiangyu +3 more
openaire +2 more sources
Fully‐Constrained Variable Projection for Water‐Fat Models
ABSTRACT Purpose Variable projection (VARPRO) is an effective technique to reduce the dimensionality of least squares optimization problems through the elimination of linear parameters. For water‐fat models, constrained VARPRO variants have been proposed in the literature to ensure that water and fat components are aligned at TE = 0, thereby preventing
Carl Ganter +4 more
wiley +1 more source
ABSTRACT This paper addresses the problem of dynamic output‐feedback H∞$$ {H}_{\infty } $$ detector‐based control for continuous‐time Markov Jump Lur'e Systems with uncertain transition rate matrices. In contrast to conventional approaches, the proposed synthesis conditions are derived using Finsler's lemma, introducing additional slack variables to ...
Lucas P. M. Silva +2 more
wiley +1 more source
The spectrum of a Hermitian matrix sum
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Day, Jane +2 more
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Abstract In the domain of battery research, the processing of high‐resolution microscopy images is a challenging task, as it involves dealing with complex images and requires a prior understanding of the components involved. The utilisation of deep learning methodologies for image analysis has attracted considerable interest in recent years, with ...
Ganesh Raghavendran +7 more
wiley +1 more source
A matrix model of a non-Hermitian β-ensemble
We introduce the first random matrix model of a complex [Formula: see text]-ensemble. The matrices are tridiagonal and can be thought of as the non-Hermitian analogue of the Hermite [Formula: see text]-ensembles discovered by [I. Dumitriu and A. Edelman, Matrix models for beta ensembles, J. Math. Phys. 43 (2002) 5830–5847].
Francesco Mezzadri, Henry Taylor
openaire +4 more sources
Marchenko–Pastur Laws for Daniell Smoothed Periodograms
ABSTRACT Given a sample X0,…,Xn−1$$ {X}_0,\dots, {X}_{n-1} $$ from a d$$ d $$‐dimensional stationary time series (Xt)t∈ℤ$$ {\left({X}_t\right)}_{t\in \mathbb{Z}} $$, the most commonly used estimator for the spectral density matrix F(θ)$$ F\left(\theta \right) $$ at a given frequency θ∈[0,2π)$$ \theta \in \left[0,2\pi \right) $$ is the Daniell smoothed ...
Ben Deitmar
wiley +1 more source
Single‐Photon Emission From TMDCs through Strong Coupling to EQ Plasmon Modes of an Au Metasurface
Compact, deterministic solid‐state single‐photon sources that operate at room temperature and integrate with planar nanophotonics are essential for the development of scalable quantum photonic technologies. This work presents a TMDC monolayer strongly coupled to a gold (Au) metasurface featuring an electric quadrupole mode, enabling high‐purity single ...
Andergachew Mekonnen Berhe +2 more
wiley +1 more source
Toward an Efficient Shifted Cholesky QR for Applications in Model Order Reduction Using pyMOR
ABSTRACT Many model order reduction (MOR) methods rely on the computation of an orthonormal basis of a subspace onto which the large full order model is projected. Numerically, this entails the orthogonalization of a set of vectors. The nature of the MOR process imposes several requirements for the orthogonalization process.
Maximilian Bindhak +2 more
wiley +1 more source

