Proceedings ArticleDOI
Estimation in the presence of multiple sources of uncertainties with applications
Ali H. Sayed,Shivkumar Chandrasekaran +1 more
- Vol. 2, pp 1811-1815
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TLDR
An estimation technique for problems that involve multiple sources of uncertainties or errors in the data that allows the designer to explicitly incorporate into the problem formulation bounds on the sizes of the uncertainties; thus leading to solutions that will not over-emphasize the effects of the uncertainty beyond what is assumed by the prior information.Abstract:
We develop an estimation technique for problems that involve multiple sources of uncertainties or errors in the data. The method allows the designer to explicitly incorporate into the problem formulation bounds on the sizes of the uncertainties; thus leading to solutions that will not over-emphasize the effects of the uncertainties beyond what is assumed by the prior information. Applications in array signal processing and image processing are considered.read more
Citations
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Journal ArticleDOI
Estimation and control with bounded data uncertainties
TL;DR: In this paper, the authors describe estimation and control strategies for models with bounded data uncertainties, referred to them as BDU estimation and BDU control methods, which are based on constrained game-type formulations that allow the designer to explicitly incorporate into the problem statement a priori information about bounds on the sizes of the uncertainties.
Book ChapterDOI
Design criteria for uncertain models with structured and unstructured uncertainties
Ali H. Sayed,Vitor H. Nascimento +1 more
TL;DR: This paper introduces and solves a weighted game-type cost criterion for estimation and control purposes that allows for a general class of uncertainties in the model or data.
Journal ArticleDOI
An Efficient Algorithm for a Bounded Errors-in-Variables Model
TL;DR: This work poses and solves a parameter estimation problem in the presence of bounded data uncertainties and admits a closed form solution in terms of the positive root of a secular equation.
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Data Fitting Problems with Bounded Uncertainties in the Data
TL;DR: An analysis of a class of data fitting problems, where the data uncertainties are subject to known bounds, is given in a very general setting and it is shown how such problems can be posed in a computationally convenient form.
Proceedings ArticleDOI
Source localization and time delay estimation using constrained least-squares and best-path smoothing
TL;DR: In this paper, the authors provide several effective source localization and propagation velocity estimation methods which only use measurements of the relative arrival time delays between sensors, based on least squares, total least square, bounded data uncertainty, and constrained least squares methods.
References
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