Generalized kernels for reconstructing bandlimited functions and their Hilbert transform

Abstract

This paper introduces generalized kernels to be used with the algorithm for reconstructing bandlimited functions from nonequidistant samples which was previously proposed by the authors. The new kernels turn out to be much more compatible with the requirements of numerical implementation, because they lead to matrices with a significantly reduced condition.