Results 51 to 60 of about 28,297 (240)

Jointly Learned 3D Non‐Cartesian Sampling With Wave Encoding and Reconstruction for Neurovascular Phase Contrast MRI

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop accelerated 3D phase contrast (PC) MRI using jointly learned wave encoding and reconstruction. Methods Pseudo‐fully sampled neurovascular 4D flow data (N = 40) and a simulation framework were used to learn phase encoding locations, wave readout parameters, and model‐based reconstruction network (MoDL) for a rapid 3D PC scan (
Chenwei Tang   +7 more
wiley   +1 more source

Revisiting PSF models: Unifying framework and high‐performance implementation

open access: yesJournal of Microscopy, EarlyView.
Abstract Localisation microscopy often relies on detailed models of point‐spread functions. For applications such as deconvolution or PSF engineering, accurate models for light propagation in imaging systems with a high numerical aperture are required. Different models have been proposed based on 2D Fourier transforms or 1D Bessel integrals.
Yan Liu   +7 more
wiley   +1 more source

Semiparametric regression for circular response with application in ecology

open access: yesScandinavian Journal of Statistics, EarlyView.
ABSTRACT A regression model for a circular response variable depending on a linear or a circular predictor is presented in this paper. The conditional density belongs to a parametric flexible family that allows for asymmetry and varying peakedness around the modal direction.
Jose Ameijeiras‐Alonso, Irène Gijbels
wiley   +1 more source

Schur flows and orthogonal polynomials on the unit circle

open access: yes, 2006
The relation between the Toda lattices and similar nonlinear chains and orthogonal polynomials on the real line has been elaborated immensely for the last decades. We examine another system of the differential-difference equations known as the Schur flow
Golinskii, L.
core   +3 more sources

Poisson count time series

open access: yesJournal of Time Series Analysis, Volume 47, Issue 2, Page 279-303, March 2026.
This article reviews and compares popular methods, some old and some recent, that produce time series having Poisson marginal distributions. The article begins by narrating ways where time series with Poisson marginal distributions can be produced.
Jiajie Kong, Robert Lund
wiley   +1 more source

Central factorials under the Kontorovich-Lebedev transform of polynomials

open access: yes, 2012
We show that slight modifications of the Kontorovich-Lebedev transform lead to an automorphism of the vector space of polynomials. This circumstance along with the Mellin transformation property of the modified Bessel functions perform the passage of ...
Abramowitz M.   +23 more
core   +1 more source

A Mixture Transition Distribution Modeling for Higher‐Order Circular Markov Processes

open access: yesJournal of Time Series Analysis, Volume 47, Issue 2, Page 304-320, March 2026.
ABSTRACT This study considers the stationary higher‐order Markov process for circular data by employing the mixture transition distribution modeling. The underlying circular transition distribution is based on Wehrly and Johnson's bivariate joint circular models.
Hiroaki Ogata, Takayuki Shiohama
wiley   +1 more source

The radius of convexity of normalized Bessel functions

open access: yes, 2015
The radius of convexity of two normalized Bessel functions of the first kind are determined in the case when the order is between $-2$ and $-1.$ Our methods include the minimum principle for harmonic functions, the Hadamard factorization of some Dini ...
Baricz, Árpád, Szász, Róbert
core   +1 more source

A Statistical Shape Modeling Approach for the Derivation of a Data‐Driven Geometry‐Aware Lumped Arterial Stenosis Model

open access: yesInternational Journal for Numerical Methods in Biomedical Engineering, Volume 42, Issue 2, February 2026.
A data‐driven workflow for constructing a geometry‐aware lumped arterial stenosis model: Statistical shape modeling extracts geometry‐specific shape modes from synthetically generated coronary lesion geometries. Large‐scale 3D CFD simulations over varying Reynolds numbers yield the geometries their viscous (Kv) and inertial (Kt) loss coefficients. Then,
P. L. J. Hilhorst   +6 more
wiley   +1 more source

Some generating functions of modified Bessel polynomials from the view point of Lie group

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 1984
In this paper we have derived a class of bilateral generating relation for modified Bessel polynomials from the view point of Lie group. An application of our theorem is also pointed out.
Asit Kumar Chongdar
doaj   +1 more source

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