The paper deals with the approximation and optimal interpolation of functions defined on the bisphere from scattered data. We demonstrate how the least square approximation to the function can be computed in a stable and efficient manner. The analysis of this problem is based on Marcinkiewicz-Zygmund inequalities for scattered data which we present here for the bisphere. The complementary problem of optimal interpolation is also solved by using well-localized kernels for our setting. Finally, we discuss the application of the developed methods to problems of texture analysis in material science
This paper describes a fast algorithm for scattered data interpolation and approximation. Multilevel...
Given a large set of scattered points on a sphere and their associated real values, we address the p...
This paper describes a new computational approach to multivariate scattered data interpolation. It i...
Scattered data approximation refers to the computation of a multi-dimensional function from measurem...
Scattered data approximation refers to the computation of a multi-dimensional function from measurem...
. We discuss several approaches to the problem of interpolating or approximating data given at scatt...
This paper describes a new computational approach to multivariate scattered data interpolation. It i...
The aim of this paper is to extend the approximate quasi-interpolation on a uniform grid by dilated ...
The aim of this paper is to extend the approximate quasi-interpolation on a uniform grid by dilated ...
In this paper we consider the approximation of noisy scattered data on the sphere by radial basis fu...
AbstractWe present a three-stage scheme for constructing smooth grid functions approximating data de...
AbstractThis paper describes a new computational approach to multivariate scattered data interpolati...
We consider the problem of approximately reconstructing a function f defined on the surface of the u...
The aim of this paper is to extend the approximate quasi-interpolation on a uniform grid by dilated ...
Numerous problems in electronic imaging systems involve the need to interpolate from irregularly spa...
This paper describes a fast algorithm for scattered data interpolation and approximation. Multilevel...
Given a large set of scattered points on a sphere and their associated real values, we address the p...
This paper describes a new computational approach to multivariate scattered data interpolation. It i...
Scattered data approximation refers to the computation of a multi-dimensional function from measurem...
Scattered data approximation refers to the computation of a multi-dimensional function from measurem...
. We discuss several approaches to the problem of interpolating or approximating data given at scatt...
This paper describes a new computational approach to multivariate scattered data interpolation. It i...
The aim of this paper is to extend the approximate quasi-interpolation on a uniform grid by dilated ...
The aim of this paper is to extend the approximate quasi-interpolation on a uniform grid by dilated ...
In this paper we consider the approximation of noisy scattered data on the sphere by radial basis fu...
AbstractWe present a three-stage scheme for constructing smooth grid functions approximating data de...
AbstractThis paper describes a new computational approach to multivariate scattered data interpolati...
We consider the problem of approximately reconstructing a function f defined on the surface of the u...
The aim of this paper is to extend the approximate quasi-interpolation on a uniform grid by dilated ...
Numerous problems in electronic imaging systems involve the need to interpolate from irregularly spa...
This paper describes a fast algorithm for scattered data interpolation and approximation. Multilevel...
Given a large set of scattered points on a sphere and their associated real values, we address the p...
This paper describes a new computational approach to multivariate scattered data interpolation. It i...