AbstractBand-limited functions f can be recovered from their sampling values (f(xi)) by means of iterative methods, if only the sampling density is high enough. We present an error analysis for these methods, treating the typical forms of errors, i.e., jitter error, truncation error, aliasing error, quantization error, and their combinations. The derived apply uniformly to whole families of spaces, e.g., to weighted Lp-spaces over some locally compact Abelian group with growth rate up to some given order. In contrast to earlier papers we do not make use of any (relative) separation condition on the sampling sets. Furthermore we discard the assumption on polynomial growth of the weights that has been used over Euclidean spaces. Consequently,...
Errors appear when the Shannon sampling series is applied to reconstruct a signal in practice. This ...
AbstractIn this paper, we study the reconstruction of functions in shift invariant subspaces from lo...
We formulate the notion of a "good approximation" to a probability distribution over a fin...
AbstractBand-limited functions f can be recovered from their sampling values (f(xi)) by means of ite...
summary:Using the techniques of approximation and factorization of convolution operators we study th...
AbstractWe present a new approach to the problem of irregular sampling of band-limited functions tha...
We present a general approach to derive sampling theorems on locally compact groups from oscillation...
Graduation date: 2000Sampling theorems provide exact interpolation formulas for bandlimited\ud funct...
AbstractAn abstract form of the classical approximate sampling theorem is proved for functions on a ...
Abstract. We derive necessary conditions for sampling and interpolation of bandlimited functions on ...
AbstractWe derive necessary conditions for sampling and interpolation of bandlimited functions on a ...
Examiner Univ.-Prof. Dr.-Ing. Dr.rer.nat. Holger Boche Contents 1. Sampling and interpolation proble...
We consider the problem of reconstructing a measurable function over a Locally Compact Abelian group...
This thesis is concerned with the problem of irregular sampling with derivatives. In one dimension, ...
AbstractWe present sampling theorems for reproducing kernel Banach spaces on Lie groups. Recent appr...
Errors appear when the Shannon sampling series is applied to reconstruct a signal in practice. This ...
AbstractIn this paper, we study the reconstruction of functions in shift invariant subspaces from lo...
We formulate the notion of a "good approximation" to a probability distribution over a fin...
AbstractBand-limited functions f can be recovered from their sampling values (f(xi)) by means of ite...
summary:Using the techniques of approximation and factorization of convolution operators we study th...
AbstractWe present a new approach to the problem of irregular sampling of band-limited functions tha...
We present a general approach to derive sampling theorems on locally compact groups from oscillation...
Graduation date: 2000Sampling theorems provide exact interpolation formulas for bandlimited\ud funct...
AbstractAn abstract form of the classical approximate sampling theorem is proved for functions on a ...
Abstract. We derive necessary conditions for sampling and interpolation of bandlimited functions on ...
AbstractWe derive necessary conditions for sampling and interpolation of bandlimited functions on a ...
Examiner Univ.-Prof. Dr.-Ing. Dr.rer.nat. Holger Boche Contents 1. Sampling and interpolation proble...
We consider the problem of reconstructing a measurable function over a Locally Compact Abelian group...
This thesis is concerned with the problem of irregular sampling with derivatives. In one dimension, ...
AbstractWe present sampling theorems for reproducing kernel Banach spaces on Lie groups. Recent appr...
Errors appear when the Shannon sampling series is applied to reconstruct a signal in practice. This ...
AbstractIn this paper, we study the reconstruction of functions in shift invariant subspaces from lo...
We formulate the notion of a "good approximation" to a probability distribution over a fin...