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A Comparison of Error Bounds for a Nonlinear Tracking System with Detection Probability Pd < 1
Sensors, 2012 Error bounds for nonlinear filtering are very important for performance evaluation and sensor management. This paper presents a comparative study of three error bounds for tracking filtering, when the detection probability is less than unity.
Xiqin Wang +3 more
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Multi-object tracking via high accuracy optical flowand finite set statistics [PDF]
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011 In this work we present a novel method for tracking an unknown number of objects with a single camera system in real-time. The proposed algorithm is based on high-accuracy optical flow and finite set statistics. In this framework the target state is treated as a random vector and the number of possible objects as a random number, which has to be ...
Marek Schikora +2 more
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Simultaneous Indirect Inference, Impulse Responses and ARMA Models
Econometrics, 2020 A two-stage simulation-based framework is proposed to derive Identification Robust confidence sets by applying Indirect Inference, in the context of Autoregressive Moving Average (ARMA) processes for finite samples.
Lynda Khalaf, Beatriz Peraza López
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Mesoscopic density grains in a 1D interacting Bose gas from the exact Yang–Yang solution
New Journal of Physics, 2017 Number fluctuations in a one-dimensional Bose gas consist of contributions from grainy fluctuations of localized domains (the density grains). We have derived a set of extended integral equations from the Yang–Yang solution for finite temperature that ...
Joanna Pietraszewicz, Piotr Deuar
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Stochastic finite elements: Where is the physics? [PDF]
Theoretical and Applied Mechanics, 2011 The micromechanics based on the Hill-Mandel condition indicates that the majority of stochastic finite element methods hinge on random field (RF) models of material properties (such as Hooke’s law) having no physical content, or even at odds with ...
Ostoja-Starzewski Martin
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Neutrosophic Ranked Set Sampling Scheme for Estimating Population Mean: An Application to Demographic Data [PDF]
Neutrosophic Sets and SystemsThe primary goal of this study is to address the limitations of classical statistics in handling ambiguous or indeterminate data. The best alternative to classical and fuzzy statistics for handling such data uncertainty is neutrosophic statistics, which ...
Rajesh Singh , Anamika Kumari
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A Multi‐Timescale EnOI‐Like High‐Efficiency Approximate Filter for Coupled Model Data Assimilation
Journal of Advances in Modeling Earth Systems, 2019 Because it uses a set of model integrations to simulate the temporally varying background probability distribution function and implement Bayes' theorem, the ensemble Kalman filter (EnKF), which produces an optimal data assimilation solution that ...
X. Yu +10 more
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FISST Based Method for Multi-Target Tracking in the Image Plane of Optical Sensors
Sensors, 2012 A finite set statistics (FISST)-based method is proposed for multi-target tracking in the image plane of optical sensors. The method involves using signal amplitude information in probability hypothesis density (PHD) filter which is derived from FISST to
Dan Xu, Wei An, Hui Xu, Yang Xu
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Measurement + Control, 2021 Traditional theoretical calculations, field measurements, and finite element methods sometimes fail to realize life cycle simulations of the temperature field and temperature effect of steel–concrete composite bridge deck systems.
Shengtao Xiang +3 more
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