In this paper, we collect the basic theory and the most important applications of a novel technique that has shown to be suitable for scattered data interpolation, quadrature, bio-imaging reconstruction. The method relies on polynomial mapped bases allowing, for instance, to incorporate data or function discontinuities in a suitable mapping function. The new technique substantially mitigates the Runge’s and Gibbs effects
The RKHS-based optimal image interpolation method, presented by Chen and de Figueiredo (1993), is ap...
This thesis consists of contributions to three topics: algorithms for computing generalized Gaussian...
Accurately reconstruction functions with discontinuities is the key in many bio-imaging applications...
In this paper, we collect the basic theory and the most important applications of a novel technique ...
In this paper, we present recent solutions to the problem of approximating functions by polynomials ...
Linear combinations of translates of a given basis function have long been successfully used to solv...
This thesis deals with generalized inverses, multivariate polynomial interpolation and approximation...
We explore a connection between Gaussian radial basis functions and polynomials. Using standard tool...
Radial Basis Functions (RBF) interpolation theory is briefly introduced at the “application level” i...
Interpolation or approximation of scattered data is very often task in engineering problems. The Rad...
AbstractAlgebraic reconstruction techniques for the reconstruction of distributions from projections...
AbstractAlgebraic Reconstruction Techniques (ART) for the reconstruction of distributions from proje...
Abstract. We explore a connection between Gaussian radial basis functions and polynomials. Using sta...
Abstract. We explore a connection between Gaussian radial basis functions and polynomials. Using sta...
Numerous problems in electronic imaging systems involve the need to interpolate from irregularly spa...
The RKHS-based optimal image interpolation method, presented by Chen and de Figueiredo (1993), is ap...
This thesis consists of contributions to three topics: algorithms for computing generalized Gaussian...
Accurately reconstruction functions with discontinuities is the key in many bio-imaging applications...
In this paper, we collect the basic theory and the most important applications of a novel technique ...
In this paper, we present recent solutions to the problem of approximating functions by polynomials ...
Linear combinations of translates of a given basis function have long been successfully used to solv...
This thesis deals with generalized inverses, multivariate polynomial interpolation and approximation...
We explore a connection between Gaussian radial basis functions and polynomials. Using standard tool...
Radial Basis Functions (RBF) interpolation theory is briefly introduced at the “application level” i...
Interpolation or approximation of scattered data is very often task in engineering problems. The Rad...
AbstractAlgebraic reconstruction techniques for the reconstruction of distributions from projections...
AbstractAlgebraic Reconstruction Techniques (ART) for the reconstruction of distributions from proje...
Abstract. We explore a connection between Gaussian radial basis functions and polynomials. Using sta...
Abstract. We explore a connection between Gaussian radial basis functions and polynomials. Using sta...
Numerous problems in electronic imaging systems involve the need to interpolate from irregularly spa...
The RKHS-based optimal image interpolation method, presented by Chen and de Figueiredo (1993), is ap...
This thesis consists of contributions to three topics: algorithms for computing generalized Gaussian...
Accurately reconstruction functions with discontinuities is the key in many bio-imaging applications...