Results 31 to 40 of about 199,738 (266)
A hybrid particle-ensemble Kalman filter for problems with medium nonlinearity.
A hybrid particle ensemble Kalman filter is developed for problems with medium non-Gaussianity, i.e. problems where the prior is very non-Gaussian but the posterior is approximately Gaussian. Such situations arise, e.g., when nonlinear dynamics produce a
Ian Grooms, Gregor Robinson
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As one of the most important communication tools for human beings, English pronunciation not only conveys literal information but also conveys emotion through the change of tone.
Hui Dong
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Distributed SLAM Using Improved Particle Filter for Mobile Robot Localization
The distributed SLAM system has a similar estimation performance and requires only one-fifth of the computation time compared with centralized particle filter.
Fujun Pei, Mei Wu, Simin Zhang
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An improved particle filtering algorithm for aircraft engine gas-path fault diagnosis
In this article, an improved particle filter with electromagnetism-like mechanism algorithm is proposed for aircraft engine gas-path component abrupt fault diagnosis.
Qihang Wang, Jinquan Huang, Feng Lu
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The concentrations of small microplastics (diameter
Haodong Xu, Hisayuki Arakawa
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An improved unbiased particle filter
Abstract In this paper, we consider the filtering of partially observed multi-dimensional diffusion processes that are observed regularly at discrete times. We assume that, for numerical reasons, one has to time-discretize the diffusion process, which typically leads to filtering that is subject to discretization bias. The approach in [A.
Ajay Jasra +2 more
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Nonlinear Vibration Signal Tracking of Large Offshore Bridge Stayed Cable Based on Particle Filter
The stayed cables are key stress components of large offshore bridge. The fault detection of stayed cable is very important for safe of large offshore bridge.
Ye Qingwei, Feng Zhimin, Yuan Debin
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Covariance-tuned EKF resampling based particle filter
Signal processing in complex environments is a challenging issue in many applications. Recent studies show that variants of particle filters achieve significant performance in positioning and tracking applications under complex environments.
N. Ashok Kumar +2 more
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Saturated particle filter [PDF]
In many practical applications the state variables are defined on a compact set of the state space. For estimating such variables constrained particle filters have been successfully applied to nonlinear systems. For the saturated system the measurement information can be used during the sampling procedure to obtain particles that approximate the true ...
Pawel Stano +2 more
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