Results 71 to 80 of about 11,051,325 (215)
ABSTRACT Purpose To jointly reconstruct high‐resolution diffusion‐weighted volumes and eliminate slab‐boundary artifacts while preserving fine anatomical detail from undersampled 3D multi‐slab k‐space acquisitions. Methods A bilinear forward model was formulated to describe the 3D multi‐slab acquisition, treating the image volume and slab excitation ...
Reza Ghorbani +4 more
wiley +1 more source
Fractional Tikhonov regularization for linear discrete ill-posed problems [PDF]
Tikhonov regularization is one of the most popular methods for solving linear systems of equations or linear least-squares problems with a severely ill-conditioned matrix A. This method replaces the given problem by a penalized least-squares problem. The
Reichel, L. +5 more
core +2 more sources
In the research of dynamic load identification, the method of obtaining kernel function matrix is usually rather cumbersome. To solve this problem, an explicit dynamic load identification algorithm based on the Wilson-θ (DLIAEW) method is proposed to ...
Yuchuan Fan, Chunyu Zhao, Hongye Yu
doaj +1 more source
Sylvester Tikhonov-regularization methods in image restoration
The authors consider large-scale linear discrete ill posed problems where the right-hand side contains noise. In order to control the effect of the noise on the solution, regularization techniques such as Tikhonov are needed. In many applications the coefficient matrix is given as a Kronecker product of two matrices and then the Tikhonov regularization
Bouhamidi, A., Jbilou, K.
openaire +1 more source
ABSTRACT Purpose Segmented 3D Gradient and Spin Echo (GRASE) is commonly used in Arterial Spin Labeling (ASL) perfusion imaging. However, it is vulnerable to inter‐shot motion, leading to subtraction errors that cannot be corrected. We developed a retrospective self‐navigated inter‐shot motion correction method for segmented 3D‐GRASE ASL imaging with ...
Minhao Hu +5 more
wiley +1 more source
Multidirectional Subspace Expansion for One-Parameter and Multiparameter Tikhonov Regularization [PDF]
Tikhonov regularization is a popular method to approximate solutions of linear discrete ill-posed problems when the observed or measured data is contaminated by noise.
Michiel E. Hochstenbach +5 more
core +4 more sources
First Results of Atmospheric Composition Retrieval using IASI-METOP and AIRS-AQUA Data [PDF]
Regularization methods for the inversion of infrared nadir sounding observations are currently investigated. An iterative Runge-Kutta type method for nonlinear ill-posed problems has been implemented and its performance has been studied using synthetic ...
Doicu, Adrian +5 more
core
Humins‐Derived Hard Carbon as a Low‐Cost Material for Sodium‐Ion Battery Anodes
Humins are oxygen‐rich polymeric residues with high carbon content and inherent porosity. In this study, humins‐derived hard carbon is evaluated as an anode material for sodium‐ion batteries, demonstrating promising reversible specific sodiation capacity, 270 mA h g − 1 $270\,{\text{mA h g}}^{-1}$ at 0.1C, with stable cycling up to 500 cycles and ...
Ravindra K. Bhardwaj +5 more
wiley +1 more source
Primenenie metoda regulyarizatsii Tikhonova dlya opredeleniya ostatochnykh napryazheniy
Application of the Tikhonov Regularization for residual stresses determination Fimkin A.I. The problem of determining the technological residual stresses in the volume of railway rails is considered.
ALEKSANDR IVANOVICh FIMKIN
doaj
In this paper, we deal with the inverse problem of identifying the unknown source of time-fractional diffusion equation on a columnar symmetric domain. This problem is ill-posed.
Fan Yang +3 more
doaj +1 more source

