Results 11 to 20 of about 22,359,362 (203)
Sampled-data filtering with error covariance assignment [PDF]
, 2001 Copyright [2001] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Huang, B, Wang, Z, Huo, P
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Aerospace, 2022 This paper presents a robust trajectory design method for approaching and rendezvous with a space target considering multi-source uncertainties. A nonlinear covariance analysis method based on the state transition tensor is presented to formulate the ...
Kai Jin +4 more
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Covariates in linkage analysis [PDF]
Genetic Epidemiology, 1999 AbstractWe apply a novel technique to detect significant covariates in linkage analysis using a logistic regression approach. An overall test of linkage is first performed to determine whether there is significant perturbation from the expected 50% sharing under the hypothesis of no linkage; if the overall test is significant, the importance of the ...
J P, Rice +6 more
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LATOR covariance analysis [PDF]
Classical and Quantum Gravity, 2005 We present results from a covariance study for the proposed Laser Astrometric Test of Relativity (LATOR) mission. This mission would send two laser-transmitter spacecraft behind the Sun and measure the relative gravitational light bending of their signals using a hundred-meter-baseline optical interferometer to be constructed on the International Space
Plowman, Joseph E., Hellings, Ronald W.
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Sensors, 2017 High-accuracy railway track surveying is essential for railway construction and maintenance. The traditional approaches based on total station equipment are not efficient enough since high precision surveying frequently needs static measurements.
Qingan Jiang +3 more
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Efficient Methods of Utilizing Multi-SBAS Corrections in Multi-GNSS Positioning
Sensors, 2020 Various combining methods have been proposed to utilize multi-satellite-based augmentation system (SBAS) correction to provide accurate position in the global navigation satellite system (GNSS) receiver.
Kwi Woo Park +2 more
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Covariance matrix estimation with heterogeneous samples [PDF]
, 2008 We consider the problem of estimating the covariance matrix Mp of an observation vector, using heterogeneous training samples, i.e., samples whose covariance matrices are not exactly Mp.
Bidon, Stéphanie +2 more
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Frontiers in Aging Neuroscience, 2019 There is an increasing interest in identifying non-invasive biomarkers of disease severity and prognosis in idiopathic Parkinson’s disease (PD). Dopamine-transporter SPECT (DAT-SPECT), diffusion tensor imaging (DTI), and structural magnetic resonance ...
Sara Lorio +11 more
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Frontiers in Neuroinformatics, 2016 In this article we introduce Pyrcca, an open-source Python package for performing canonical correlation analysis (CCA). CCA is a multivariate analysis method for identifying relationships between sets of variables.
Natalia Y Bilenko +2 more
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Covariance-Based Uncertainty Analysis of Reference Equations of State
, 2020 This work presents a detailed methodology for uncertainty analysis applied to a reference equation of states (EOSs) based on Helmholtz energy. With increasing interest in uncertainties of thermal process models, it is important to quantify the property ...
Shengwei Wang (5689142) +5 more
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