Sinc approximation of eigenvalues of Sturm–Liouville problems with a Gaussian multiplier
MM Tharwat - Calcolo, 2014 - Springer
Eigenvalue problems with eigenparameter appearing in the boundary conditions usually
have complicated characteristic determinant where zeros cannot be explicitly computed …
have complicated characteristic determinant where zeros cannot be explicitly computed …
An efficient scheme for curve and surface construction based on a set of interpolatory basis functions
RJ Zhang, W Ma - ACM Transactions on Graphics (TOG), 2011 - dl.acm.org
An efficient scheme is introduced to construct interpolatory curves and surfaces passing
through a set of given scattered data points. The scheme is based on an interpolatory basis …
through a set of given scattered data points. The scheme is based on an interpolatory basis …
On numerical realizations of Shannon's sampling theorem
M Kircheis, D Potts, M Tasche - Sampling Theory, Signal Processing, and …, 2024 - Springer
In this paper, we discuss some numerical realizations of Shannon's sampling theorem. First
we show the poor convergence of classical Shannon sampling sums by presenting sharp …
we show the poor convergence of classical Shannon sampling sums by presenting sharp …
A modification of Hermite sampling with a Gaussian multiplier
RM Asharabi, J Prestin - Numerical Functional Analysis and …, 2015 - Taylor & Francis
The Hermite sampling series is used to approximate bandlimited functions. In this article, we
introduce two modifications of Hermite sampling with a Gaussian multiplier to approximate …
introduce two modifications of Hermite sampling with a Gaussian multiplier to approximate …
On regularized Shannon sampling formulas with localized sampling
M Kircheis, D Potts, M Tasche - Sampling Theory, Signal Processing, and …, 2022 - Springer
In this paper, we present new regularized Shannon sampling formulas which use localized
sampling with special window functions, namely Gaussian, B-spline, and sinh-type window …
sampling with special window functions, namely Gaussian, B-spline, and sinh-type window …
Generalized sinc-Gaussian sampling involving derivatives
RM Asharabi - Numerical Algorithms, 2016 - Springer
The generalized sampling expansion which uses samples from a bandlimited function f and
its first r derivatives was first introduced by Linden and Abramson (Inform. Contr. 3, 26–31 …
its first r derivatives was first introduced by Linden and Abramson (Inform. Contr. 3, 26–31 …
On two-dimensional classical and Hermite sampling
RM Asharabi, J Prestin - IMA Journal of Numerical Analysis, 2016 - academic.oup.com
We investigate some modifications of the two-dimensional sampling series with a Gaussian
function for wider classes of bandlimited functions, including unbounded entire functions on …
function for wider classes of bandlimited functions, including unbounded entire functions on …
Computing eigenvalues of boundary-value problems using sinc-Gaussian method
MH Annaby, RM Asharabi - Sampling Theory in Signal and Image …, 2008 - Springer
In this paper we compute the eigenvalues of second order Birkhoff-regular eigenvalue
problems using the sinc-Gaussian method established by Qian (2002). The error of this …
problems using the sinc-Gaussian method established by Qian (2002). The error of this …
A sinc-Gaussian technique for computing eigenvalues of second-order linear pencils
MH Annaby, MM Tharwat - Applied Numerical Mathematics, 2013 - Elsevier
The sinc-Gaussian sampling technique derived by Qian (2002) establishes a sampling
technique which converges faster than the classical sampling technique. Schmeisser and …
technique which converges faster than the classical sampling technique. Schmeisser and …
A multidimensional Hermite-Gauss sampling formula for analytic functions of several variables
RM Asharabi, FH Al-Haddad - Numerical Algorithms, 2024 - Springer
Recently, Norvidas has introduced the general multidimensional Hermite sampling series,
which involves samples from a function and its mixed and non-mixed partial derivatives. The …
which involves samples from a function and its mixed and non-mixed partial derivatives. The …