A regularized algorithm for the recovery of band-limited signals from noisy data is described. The regularization is characterized by a single parameter. Iterative and non-iterative implementations of the algorithm are shown to have useful properties, the former offering the advantage of flexibility and the latter a potential for rapid data processing. Comparative results, using experimental data obtained in laser anemometry studies with a photon correlator, are presented both with and without regularization. © 1983 Taylor & Francis Ltd.SCOPUS: ar.jinfo:eu-repo/semantics/publishe
Many branches of science and engineering are concerned with the problem of recording signals from ph...
In image formation, the observed images are usually blurred by optical instruments and/or transfer ...
A model of iterative regularized restoration of images based upon wavelet filter banks is proposed i...
An analysis is carried out, using the prolate spheroidal wave functions, of certain regularized iter...
Using the regularization theory for improperly posed problems, we discuss object restoration beyond ...
In this paper we consider the problems of object restoration and image extrapolation, according to t...
This paper considers the application of the method of regularisation within the context of the resto...
QC 351 A7 no. 72The problem of inferring some unknown distribution (object) from measurements of phy...
Several new results are presented for applications involving the restoration of coherent signals and...
The linear inverse problem encountered in restoration of blurred noisy images is typically solved vi...
A signal recovery technique is motivated and derived for the recovery of several nonnegative signals...
In this paper the iterative methods of image restoration are considered. These methods are based on ...
The reconstruction of an object from an image formed by an idealized optical system is considered. T...
Abstract: The paper presents robust approach to image restoration problem that combines the properti...
AbstractIn most cases astronomical images contain objects with very different intensities such as br...
Many branches of science and engineering are concerned with the problem of recording signals from ph...
In image formation, the observed images are usually blurred by optical instruments and/or transfer ...
A model of iterative regularized restoration of images based upon wavelet filter banks is proposed i...
An analysis is carried out, using the prolate spheroidal wave functions, of certain regularized iter...
Using the regularization theory for improperly posed problems, we discuss object restoration beyond ...
In this paper we consider the problems of object restoration and image extrapolation, according to t...
This paper considers the application of the method of regularisation within the context of the resto...
QC 351 A7 no. 72The problem of inferring some unknown distribution (object) from measurements of phy...
Several new results are presented for applications involving the restoration of coherent signals and...
The linear inverse problem encountered in restoration of blurred noisy images is typically solved vi...
A signal recovery technique is motivated and derived for the recovery of several nonnegative signals...
In this paper the iterative methods of image restoration are considered. These methods are based on ...
The reconstruction of an object from an image formed by an idealized optical system is considered. T...
Abstract: The paper presents robust approach to image restoration problem that combines the properti...
AbstractIn most cases astronomical images contain objects with very different intensities such as br...
Many branches of science and engineering are concerned with the problem of recording signals from ph...
In image formation, the observed images are usually blurred by optical instruments and/or transfer ...
A model of iterative regularized restoration of images based upon wavelet filter banks is proposed i...