Results 61 to 70 of about 617,695 (198)
IEEE AccessAn important service in the wireless systems for the human daily life is the information of a mobile user location. Wireless sensor network is a structure that can be used to determine the mobile user position.
Bamrung Tausiesakul +1 more
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Classification of Gaussian spatio-temporal data with stationary separable covariances
Nonlinear Analysis, 2021 The novel approach to classification of spatio-temporal data based on Bayes discriminant functions is developed. We focus on the problem of supervised classifying of the spatiotemporal Gaussian random field (GRF) observation into one of two classes ...
Marta Karaliutė, Kęstutis Dučinskas
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Survival Analysis With Heterogeneous Covariate Measurement Error
Journal of the American Statistical Association, 2004 This article is motivated by a time-to-event analysis where the covariate of interest was measured at the wrong time. We show that the problem can be formulated as a special case of survival analysis with heterogeneous covariate measurement error and develop a general analytic framework.
Yi Li, Louise Ryan
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Estimating model error covariance matrix parameters in extended Kalman filtering [PDF]
Nonlinear Processes in Geophysics, 2014 The extended Kalman filter (EKF) is a popular state estimation method for nonlinear dynamical models. The model error covariance matrix is often seen as a tuning parameter in EKF, which is often simply postulated by the user.
A. Solonen +4 more
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Method of statistical filtering [PDF]
, 1970 Minimal formula for bounding the cross correlation between a random forcing function and the state error when this correlation is unknown is used in optimal linear filter theory applications.
Battin, R. H. +3 more
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The General Linear Model and the Generalized Singular Value Decomposition [PDF]
, 2009 The general linear model with correlated error variables can be transformed by means of the generalized singular value decomposition to a very simple model (canonical form) where the least squares solution is obvious.
Knüsel, Leo
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Considering the impact of observation error correlation in ensemble square-root Kalman filter [PDF]
Brazilian Journal of Oceanography, 2019 Data assimilation has been developed into an effective technology that can utilize a large number of multi-source unconventional data. It cannot only provide the initial field for the ocean numerical prediction model, but also construct the ocean ...
Shaodong Zang, Jichao Wang
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Model error and sequential data assimilation. A deterministic formulation
, 2008 Data assimilation schemes are confronted with the presence of model errors arising from the imperfect description of atmospheric dynamics. These errors are usually modeled on the basis of simple assumptions such as bias, white noise, first order Markov ...
Carrassi, A., Nicolis, C., Vannitsem, S.
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Covariance of the One-Dimensional Mass Power Spectrum [PDF]
, 2004 We analyse the covariance of the one-dimensional mass power spectrum along lines of sight. The covariance reveals the correlation between different modes of fluctuations in the cosmic density field and gives the sample variance error for measurements of ...
Eisenstein, Daniel, Zhan, Hu
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Kalman Filtering with Uncertain Process and Measurement Noise Covariances with Application to State Estimation in Sensor Networks [PDF]
, 2007 Distributed state estimation under uncertain process and measurement noise covariances is considered. An algorithm based on sensor fusion using Kalman filtering is investigated.
Johansson, Karl Henrik +2 more
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