Add to ORKGAbstract. The classical Kramer sampling theorem is, in the subject of self-adjoint bound-ary value problems, one of the richest sources to obtain sampling expansions. It has be-come very fruitful in connection with discrete Sturm-Liouville problems. In this paper, a discrete version of the analytic Kramer sampling theorem is proved. Orthogonal polyno-mials arising from indeterminate Hamburger moment problems as well as polynomials of the second kind associated with them provide examples of Kramer analytic kernels. 2000 Mathematics Subject Classification. Primary 94A20, 44A60. 1. Introduction. Th
An analog of the Whittaker-Shannon-Kotel\u27nikov sampling theorem is derived for functions with val...
AbstractThis paper is concerned with the generation of Kramer analytic kernels from first-order, lin...
The close relationship between discrete Sturm–Liouville problems belonging to the so–called limit–ci...
Abstract. The classical Kramer sampling theorem is, in the subject of self-adjoint bound-ary value p...
The classical Kramer sampling theorem is, in the subject of self-adjoint boundary value problems, on...
AbstractIn this paper we propose candidates to be the kernel appearing in the discrete Kramer sampli...
Abstract The classical Kramer sampling theorem provides a method for obtaining orthogonal sampling f...
Recently a discrete version of Kramer's sampling theorem has been developed. The new theorem allows ...
AbstractIt is known that Kramer's sampling theorem and Lagrange-type interpolation generalize the ce...
In this paper a new class of Kramer kernels is introduced, motivated by the resolvent of a symmetric...
The classical Kramer sampling theorem provides a method for obtaining orthogonal sampling formulas. ...
AbstractThe close relationship between discrete Sturm–Liouville problems belonging to the so-called ...
There are many papers dealing with Kramer\u27s sampling theorem associated with self-adjoint boundar...
Kramer's sampling theorem gives us the possibility to reconstruct integral transforms from their val...
Kramer’s sampling theorem provides an algorithm for reconstructing a function ƒ, in the form (Formua...
An analog of the Whittaker-Shannon-Kotel\u27nikov sampling theorem is derived for functions with val...
AbstractThis paper is concerned with the generation of Kramer analytic kernels from first-order, lin...
The close relationship between discrete Sturm–Liouville problems belonging to the so–called limit–ci...
Abstract. The classical Kramer sampling theorem is, in the subject of self-adjoint bound-ary value p...
The classical Kramer sampling theorem is, in the subject of self-adjoint boundary value problems, on...
AbstractIn this paper we propose candidates to be the kernel appearing in the discrete Kramer sampli...
Abstract The classical Kramer sampling theorem provides a method for obtaining orthogonal sampling f...
Recently a discrete version of Kramer's sampling theorem has been developed. The new theorem allows ...
AbstractIt is known that Kramer's sampling theorem and Lagrange-type interpolation generalize the ce...
In this paper a new class of Kramer kernels is introduced, motivated by the resolvent of a symmetric...
The classical Kramer sampling theorem provides a method for obtaining orthogonal sampling formulas. ...
AbstractThe close relationship between discrete Sturm–Liouville problems belonging to the so-called ...
There are many papers dealing with Kramer\u27s sampling theorem associated with self-adjoint boundar...
Kramer's sampling theorem gives us the possibility to reconstruct integral transforms from their val...
Kramer’s sampling theorem provides an algorithm for reconstructing a function ƒ, in the form (Formua...
An analog of the Whittaker-Shannon-Kotel\u27nikov sampling theorem is derived for functions with val...
AbstractThis paper is concerned with the generation of Kramer analytic kernels from first-order, lin...
The close relationship between discrete Sturm–Liouville problems belonging to the so–called limit–ci...