Browsing by Subject "Estimation"
Now showing items 21-40 of 45
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Conference Object
Indoor localization accuracy estimation from fingerprint data
(Institute of Electrical and Electronics Engineers Inc., 2017)The demand for indoor localization services has led to the development of techniques that create a Fingerprint Map (FM) of sensor signals (e.g., magnetic, Wi-Fi, bluetooth) at designated positions in an indoor space and ...
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Conference Object
Least-cost firing sequence estimation in labeled Petri nets with unobservable transitions
(2007)This paper develops a recursive algorithm for estimating the least-cost transition firing sequences that match the observation of a sequence of labels produced by transition activity in a given labeled Petri net. The Petri ...
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Article
Least-cost planning sequence estimation in labelled Petri nets
(2011)This paper develops a recursive algorithm for estimating the least-cost planning sequence in a manufacturing system that is modelled by a labelled Petri net. We consider a setting where we are given a sequence of labels ...
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Least-cost transition firing sequence estimation in labeled Petri nets with unobservable transitions
(2011)This paper proposes an approach for estimating the least-cost transition firing sequence(s) that matches (match) the observation of a sequence of labels produced by transition activity in a given labeled Petri net. Each ...
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Conference Object
Least-Square estimation for nonlinear systems with applications to phase and envelope estimation in wireless fading channels
(2008)This paper addresses the problem of nonlinear Least-Square estimation. A new approach is presented which employees a change of probability measure technique to derive recursive equations for conditional means of nonlinear ...
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Conference Object
Minimum initial marking estimation in labeled petri nets
(2009)This paper develops an algorithm for estimating the minimum initial marking based on the observation of a sequence of labels that is produced by underlying transition activity in a given labeled Petri net. We assume that ...
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Minimum initial marking estimation in labeled petri nets
(2013)This technical note develops algorithms for estimating the minimum initial marking(s) following the observation of a sequence of labels produced by underlying transition activity in a known labeled Petri net (PN). Since ...
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A model for estimating pollution emissions for individual economic activities
(1998)To be effective, environmental policies must be informed by reliable assessments of the impact of economic activities. In turn, such impact assessments require comprehensive information on the pollution profiles of particular ...
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Modeling wireless fading channels via stochastic differential equations: Identification and estimation based on noisy measurements
(2008)This paper is concerned with modeling and identification of wireless channels using noisy measurements. The models employed are governed by Stochastic Differential Equations (SDEs) in state space form, while the identification ...
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A new estimation scheme for the effective number of users in internet congestion control
(2011)Many congestion control protocols have been recently proposed in order to alleviate the problems encountered by TCP in high-speed networks and wireless links. Protocols utilizing an architecture that is in the same spirit ...
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Non-Parametric Sequential Estimation of a Regression Function Based on Dependent Observations
(2013)This article presents a sequential estimation procedure for an unknown regression function. Observed regressors and noises of the model are supposed to be dependent and form sequences of dependent numbers. Two types of ...
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Nonlinear estimation for a class of systems
(2009)This paper considers nonlinear estimation problems for classes of models, and employs relative entropy to describe the uncertainty classes. Two optimization problems are formulated on general Banach spaces, and their ...
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On the posterior median estimators of possibly sparse sequences
(2005)We adopt the Bayesian paradigm and discuss certain properties of posterior median estimators of possibly sparse sequences. The prior distribution considered is a mixture of an atom of probability at zero and a symmetric ...
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Optimal filtering over uncertain wireless communication channels
(2011)In this letter, filtering over wireless communication channels subject to packet losses is considered. The packet losses are assumed to follow a Bernoulli distribution. The latter is interpreted as a special case of a ...
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Position error signal estimation at high sampling rates using data and servo sector measurements
(2003)The sampling rate in most hard disk drives (HDDs) is limited by the number of servo burst sectors that have prewritten position error signal (PES) data and by the spinning speed of the HDD. This paper presents an algorithm ...
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Article
Rate of convergence for vanishing viscosity approximations to hyperbolic balance laws
(2011)The rate of convergence for vanishing viscosity approximations to hyperbolic balance laws is established. The result applies to systems that are strictly hyperbolic and genuinely nonlinear with a source term satisfying a ...
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Conference Object
Robust estimation with applications to phase and envelope estimation in frequency selective wireless fading channels
(2008)This paper derives robust niiniinax estimators for a class of uncertain models. The uncertainty is described by a relative entropy constraint between the unknown joint distribution and a fixed nominal joint distribution. ...
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Semiparametric approach to the one-way layout
(2001)We consider m distributions in which the first m-1 are obtained by multiplicative exponential distortions of the mth distribution, which is a reference. The combined data from rn samples, one from each distribution, are ...
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A singular function boundary integral method for the laplace equation
(1996)The authors present a new singular function boundary integral method for the numerical solution of problems with singularities which is based on approximation of the solution by the leading terms of the local asymptotic ...
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Spatial models for variability of significant wave height in world oceans
(2008)Significant wave height (Hs) is a measure of the variability of the ocean surface. Benefits from knowing the spatial and temporal characteristics of this field are multiple: It is useful to size offshore structures, to ...