For optimal unbiased filter as mean-square and in the case of functioning anomalous noises in the observation memory channel, we have proved insensitivity of filter to inaccurate knowledge of the anomalous noise intensity matrix and its equivalence to truncated filter plotted only by non anomalous components of an observation vector
AbstractA result of Godambe [1] on optimal combination of estimating functions for discrete time sto...
This paper deals with the problem of estimating a state process, the measurements of which are corru...
This article develops a comprehensive framework for stability analysis of a broad class of commonly ...
We have conducted the optimal synthesis of rootmean- squared objective filter to estimate the state ...
Abstract: The paper considers: 1) the determination problem of optimal filtering and interpolation e...
In standard treatments of stochastic filtering one first requires the various parameters of the mode...
Abstract. This paper considers the problem of likelihood ratio determination for recognition of the ...
A model for nonlinear filtering is considered in which errors in state dynamics and observations are...
A lower and upper bound approach on the optimal mean square error is used to study the asymptotic be...
The locally optimal filter is designed for a class of discrete-time systems subject to stochastic no...
A lower and upper bound approach on the optimal mean square error is used to study the asymptotic be...
Abstract. In this paper on basis of the results (Dyomin et al., 2003a) the structure of Shannon info...
We study linear minimum mean square error (LMMSE) fil-ters for estimating a nonstationary second-ord...
In this paper, we consider the filtering of diffusion processes observed in non-Gaussian noise, when...
In this paper we consider a stochastic system (xt, yt, zt). We assume that (xt) is an unobservable p...
AbstractA result of Godambe [1] on optimal combination of estimating functions for discrete time sto...
This paper deals with the problem of estimating a state process, the measurements of which are corru...
This article develops a comprehensive framework for stability analysis of a broad class of commonly ...
We have conducted the optimal synthesis of rootmean- squared objective filter to estimate the state ...
Abstract: The paper considers: 1) the determination problem of optimal filtering and interpolation e...
In standard treatments of stochastic filtering one first requires the various parameters of the mode...
Abstract. This paper considers the problem of likelihood ratio determination for recognition of the ...
A model for nonlinear filtering is considered in which errors in state dynamics and observations are...
A lower and upper bound approach on the optimal mean square error is used to study the asymptotic be...
The locally optimal filter is designed for a class of discrete-time systems subject to stochastic no...
A lower and upper bound approach on the optimal mean square error is used to study the asymptotic be...
Abstract. In this paper on basis of the results (Dyomin et al., 2003a) the structure of Shannon info...
We study linear minimum mean square error (LMMSE) fil-ters for estimating a nonstationary second-ord...
In this paper, we consider the filtering of diffusion processes observed in non-Gaussian noise, when...
In this paper we consider a stochastic system (xt, yt, zt). We assume that (xt) is an unobservable p...
AbstractA result of Godambe [1] on optimal combination of estimating functions for discrete time sto...
This paper deals with the problem of estimating a state process, the measurements of which are corru...
This article develops a comprehensive framework for stability analysis of a broad class of commonly ...