By considering the algorithm proposed by Papoulis and Gerchberg (1962) which allows the approximation of bandlimited signals or its inverse version, statements are proven about the type and rate of convergence. These statements show that the convergence properties of the algorithm are very poor. Additionally, a modification of the algorithm is proposed which permits the approximation of the Hilbert transform of the signal and of the analytic signal without additional expense, too. Finally, the type and rate of convergence of the algorithm is demonstrated by a numerical example
We implement a stable and convergent algorithm to compute the Hilbert Transform instead of the Fou...
In many fields of applications it is of considerable interest to reconstruct a bandlimited response ...
Abstract—This paper presents a framework for discrete-time signal reconstruction from absolute value...
A new and fast approximate Hilbert transform based on subband decomposition is presented. This new a...
AbstractIn this paper we devise a method for recovering band limited signals which have been subject...
A stable and convergent algorithm to compute Hilbert Transform is presented instead of the Fourier i...
Theoretically, irregularly sampled bandlimited signals can be reconstructed even if very few demands...
The problem of approximating a given function (in the mean) on a finite interval by a finite sum of ...
The problem of band-limited extrapolation is studied in a general framework of estimation of a signa...
AbstractAn algorithm is given for everywhere extrapolating a band-limited signal known only on an in...
Howard's minimum-negativity-constraint extrapolation algorithm is shown to be a special case of...
Shannon's sampling theorem is fundamental in signal processing. It provides the exact reconstru...
Consider the problem of sampling signals which are not bandlimited, but still have a finite number o...
Analysis of non-uniformly sampled signals is often severely limited, since most signal processing me...
In this paper, an algorithm for the reconstruction of signals from measurement data is proposed. The...
We implement a stable and convergent algorithm to compute the Hilbert Transform instead of the Fou...
In many fields of applications it is of considerable interest to reconstruct a bandlimited response ...
Abstract—This paper presents a framework for discrete-time signal reconstruction from absolute value...
A new and fast approximate Hilbert transform based on subband decomposition is presented. This new a...
AbstractIn this paper we devise a method for recovering band limited signals which have been subject...
A stable and convergent algorithm to compute Hilbert Transform is presented instead of the Fourier i...
Theoretically, irregularly sampled bandlimited signals can be reconstructed even if very few demands...
The problem of approximating a given function (in the mean) on a finite interval by a finite sum of ...
The problem of band-limited extrapolation is studied in a general framework of estimation of a signa...
AbstractAn algorithm is given for everywhere extrapolating a band-limited signal known only on an in...
Howard's minimum-negativity-constraint extrapolation algorithm is shown to be a special case of...
Shannon's sampling theorem is fundamental in signal processing. It provides the exact reconstru...
Consider the problem of sampling signals which are not bandlimited, but still have a finite number o...
Analysis of non-uniformly sampled signals is often severely limited, since most signal processing me...
In this paper, an algorithm for the reconstruction of signals from measurement data is proposed. The...
We implement a stable and convergent algorithm to compute the Hilbert Transform instead of the Fou...
In many fields of applications it is of considerable interest to reconstruct a bandlimited response ...
Abstract—This paper presents a framework for discrete-time signal reconstruction from absolute value...