Nahi [2] considered the optimal linear estimation with uncertain observations. In his model, the binary random variables characterizing uncertainty of signals in the observation were statistically independent. This correspondence considers the same model but with the binary random variables correlated
It is shown that in the estimation of an arbitrary signal corrupted by additive Gaussian noise, the ...
The optimal linear estimation problems are investigated in this paper for a class of discrete linear...
This paper considers the state estimation of linear discrete-time systems with uncertain-delayed obs...
The least mean-squared error linear estimation problem of signals in systems with uncertain observat...
The problem of minimax estimation in the linear regression model is considered under the assumption ...
The optimum linear estimation problem in a generalized formulation is considered for a func-tion of ...
Abstract—When is optimal estimation linear? It is well known that when a Gaussian source is contamin...
We consider the problem of parameter estimation in a linear stochastic model, where the observations...
Abstract—When is optimal estimation linear? It is well known that, when a Gaussian source is contami...
Abstract—We consider the estimation of a Gaussian random vector observed through a linear transform...
International audienceThis paper is concerned with the optimization of the upper bounds of the inter...
In this paper we present a class of bounded-uncertainty estimators as the solution of a classic esti...
Estimation of unknowns in the presence of noise and uncertainty is an active area of study, because ...
In this paper we present a review of some recent results for identification of linear dynamic system...
In this paper, we investigate the relationship between the location of an optimal estimator of a ran...
It is shown that in the estimation of an arbitrary signal corrupted by additive Gaussian noise, the ...
The optimal linear estimation problems are investigated in this paper for a class of discrete linear...
This paper considers the state estimation of linear discrete-time systems with uncertain-delayed obs...
The least mean-squared error linear estimation problem of signals in systems with uncertain observat...
The problem of minimax estimation in the linear regression model is considered under the assumption ...
The optimum linear estimation problem in a generalized formulation is considered for a func-tion of ...
Abstract—When is optimal estimation linear? It is well known that when a Gaussian source is contamin...
We consider the problem of parameter estimation in a linear stochastic model, where the observations...
Abstract—When is optimal estimation linear? It is well known that, when a Gaussian source is contami...
Abstract—We consider the estimation of a Gaussian random vector observed through a linear transform...
International audienceThis paper is concerned with the optimization of the upper bounds of the inter...
In this paper we present a class of bounded-uncertainty estimators as the solution of a classic esti...
Estimation of unknowns in the presence of noise and uncertainty is an active area of study, because ...
In this paper we present a review of some recent results for identification of linear dynamic system...
In this paper, we investigate the relationship between the location of an optimal estimator of a ran...
It is shown that in the estimation of an arbitrary signal corrupted by additive Gaussian noise, the ...
The optimal linear estimation problems are investigated in this paper for a class of discrete linear...
This paper considers the state estimation of linear discrete-time systems with uncertain-delayed obs...
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