Results 21 to 30 of about 662,175 (342)
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
doaj +1 more source
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
doaj +1 more source
The concentrations of small microplastics (diameter
Haodong Xu, Hisayuki Arakawa
doaj +1 more source
Improved proposal distribution with gradient measures for tracking [PDF]
Particle filters have become a useful tool for the task of object tracking due to their applicability to a wide range of situations. To be able to obtain an accurate estimate from a particle filter a large number of particles is usually necessary.
Brasnett, PA +3 more
core +3 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Nonlinear Compressive Particle Filtering [PDF]
Many systems for which compressive sensing is used today are dynamical. The common approach is to neglect the dynamics and see the problem as a sequence of independent problems. This approach has two disadvantages. Firstly, the temporal dependency in the
Ohlsson, Henrik +2 more
core +1 more source
Particle Filtering With Invertible Particle Flow [PDF]
A key challenge when designing particle filters in high-dimensional state spaces is the construction of a proposal distribution that is close to the posterior distribution. Recent advances in particle flow filters provide a promising avenue to avoid weight degeneracy; particles drawn from the prior distribution are migrated in the state-space to the ...
Li, Yunpeng, Coates, Mark
openaire +2 more sources

