Results 41 to 50 of about 296,448 (209)
Electronics LettersThis letter introduces a novel integrated framework for simultaneous localization and mapping (SLAM) tailored for general agricultural applications.
Hann‐Gyoo Kim +2 more
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High-Dimensional Quadratic Discriminant Analysis Under Spiked Covariance Model
IEEE Access, 2020 Quadratic discriminant analysis (QDA) is a widely used classification technique that generalizes the linear discriminant analysis (LDA) classifier to the case of distinct covariance matrices among classes.
Houssem Sifaou +2 more
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IEEE Access, 2021 Covariance analysis describing function technique is a conventional method to solve the performance analysis of the nonlinear missile guidance system. Aiming at the faultiness of covariance analysis describing function technique and its improved method ...
Quancheng Li +4 more
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General balance, combination of information and the analysis of covariance [PDF]
, 1992 A resume is given of the conditions and underlying theory for general balance of an experimental design, paying particular attention to their relationships to the usual linear models for analysis of variance and the marginality relationships between the ...
Tobias, R. D., Payne, R. W.
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Knowledge-Aided Structured Covariance Matrix Estimator Applied for Radar Sensor Signal Detection
Sensors, 2019 This study deals with the problem of covariance matrix estimation for radar sensor signal detection applications with insufficient secondary data in non-Gaussian clutter. According to the Euclidean mean, the authors combined an available prior covariance
Naixin Kang, Zheran Shang, Qinglei Du
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Permutation Variation and Alternative Hyper-Sphere Decomposition
Mathematics, 2022 Current covariance modeling methods work well in longitudinal data analysis. In the analysis of data with no nature order, a common covariance modeling method would be inadequate.
Qingze Li, Jianxin Pan
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The analysis of very small samples of repeated measurements I: an adjusted sandwich estimator [PDF]
, 2010 The statistical analysis of repeated measures or longitudinal data always requires the accommodation of the covariance structure of the repeated measurements at some stage in the analysis. The general linear mixed model is often used for such analyses,
Skene, S.S. +9 more
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Analysis of a Rigid-Body Pose Estimator for Relative Spacecraft Navigation
AerospaceThis study presents a rigorous error analysis of a previously published estimator that determines the single-frame relative pose of two rigid bodies from batches of point and unit vector measurements.
Caitong Peng, Daniel Choukroun
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Flexible Bayesian Dynamic Modeling of Correlation and Covariance Matrices [PDF]
, 2020 Modeling correlation (and covariance) matrices can be challenging due to the positive-definiteness constraint and potential high-dimensionality. Our approach is to decompose the covariance matrix into the correlation and variance matrices and propose a ...
Shahbaba, Babak +7 more
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An anisotropic formulation of the parametric Kalman filter assimilation
Tellus: Series A, Dynamic Meteorology and Oceanography, 2021 In geophysics, the direct application of covariance matrix dynamics described by the Kalman filter (KF) is limited by the high dimension of such problems. The parametric Kalman filter (PKF) is a recent alternative to the ensemble Kalman filter, where the
Olivier Pannekoucke
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