Add to ORKGAbstract Spectral theory of isotropic random fields in Euclidean space developed by M. I. Yadrenko is exploited to find solution to the problem of optimal linear estimation of the functiona
Let \(\boldsymbol{f}\) be a square-integrable, zero-mean, random vector with observable realizations...
This paper addresses the problem of simulating multivariate random fields with stationary Gaussian i...
We consider a stationary symmetric stable bidimensional process with discrete time, having the spect...
The problem considered involves estimating a two-dimensional isotropic random field given noisy obse...
This paper considers the application of Kalman estimation theory to the problem of estimating two-di...
Click on the DOI link to access the article (may not be free).An isotropic scalar or vector random f...
Gaussian random fields defined over compact two-point homogeneous spaces are considered and Sobolev ...
Multidimensional random fields are considered in the paper aiming at the development of theoretical-...
<p>In this paper, we consider a continuous in mean square homogeneous and isotropic Gaussian random ...
The problem considered is the problem of optimal linear estimation of the functional Aξ = ∑↑∞↓j=0 ∫↓...
The talk is motivated by the properties surrounding the spectral density of a stationary process and...
Thesis (Sc. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
In earlier papers, 2p-periodic spectral data windows have been used in spectral estimation of discre...
In earlier papers, 2p-periodic spectral data windows have been used in spectral estimation of discre...
The estimation of spectra of random stationary processes is an important part of the statistics of r...
Let \(\boldsymbol{f}\) be a square-integrable, zero-mean, random vector with observable realizations...
This paper addresses the problem of simulating multivariate random fields with stationary Gaussian i...
We consider a stationary symmetric stable bidimensional process with discrete time, having the spect...
The problem considered involves estimating a two-dimensional isotropic random field given noisy obse...
This paper considers the application of Kalman estimation theory to the problem of estimating two-di...
Click on the DOI link to access the article (may not be free).An isotropic scalar or vector random f...
Gaussian random fields defined over compact two-point homogeneous spaces are considered and Sobolev ...
Multidimensional random fields are considered in the paper aiming at the development of theoretical-...
<p>In this paper, we consider a continuous in mean square homogeneous and isotropic Gaussian random ...
The problem considered is the problem of optimal linear estimation of the functional Aξ = ∑↑∞↓j=0 ∫↓...
The talk is motivated by the properties surrounding the spectral density of a stationary process and...
Thesis (Sc. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
In earlier papers, 2p-periodic spectral data windows have been used in spectral estimation of discre...
In earlier papers, 2p-periodic spectral data windows have been used in spectral estimation of discre...
The estimation of spectra of random stationary processes is an important part of the statistics of r...
Let \(\boldsymbol{f}\) be a square-integrable, zero-mean, random vector with observable realizations...
This paper addresses the problem of simulating multivariate random fields with stationary Gaussian i...
We consider a stationary symmetric stable bidimensional process with discrete time, having the spect...