Results 11 to 20 of about 647,012 (294)
Tempered Particle Filtering [PDF]
Finance and Economics Discussion Series, 2016 The accuracy of particle filters for nonlinear state-space models crucially depends on the proposal distribution that mutates time t-1 particle values into time t values. In the widely-used bootstrap particle filter this distribution is generated by the state-transition equation.
Edward Herbst, Frank Schorfheide
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A Zero-Velocity Update Method for Adaptive Particle Filtering
Xibei Gongye Daxue Xuebao, 2020 Aiming at the low precision of Kalman filter in dealing with non-linear and non-Gaussian models and the serious particle degradation in standard particle filter, a zero-velocity correction algorithm of adaptive particle filter is proposed in this paper ...
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Filtering via Simulation: Auxiliary Particle Filters [PDF]
Journal of the American Statistical Association, 1999 This article analyses the recently suggested particle approach to filtering time series. We suggest that the algorithm is not robust to outliers for two reasons: the design of the simulators and the use of the discrete support to represent the sequentially updating prior distribution. Here we tackle the first of these problems.
Michael K Pitt, Neil Shephard
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Determination of Infusion Filter Efficiency applying Dynamic Light Scattering
Current Directions in Biomedical Engineering, 2022 Filter membranes (pore size 0.2 μm) are frequently used to perform a sterile filtration. To characterize the pore size of filter membranes, a method to determine the particle retention of nanoparticles was defined. The Dynamic Light Scattering method was
Kurzhals Anja +5 more
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The iterated auxiliary particle filter [PDF]
, 2016 We present an offline, iterated particle filter to facilitate statistical inference in general state space hidden Markov models. Given a model and a sequence of observations, the associated marginal likelihood L is central to likelihood-based inference ...
Guarniero, Pieralberto +2 more
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Prediction of Remaining Useful Life of the Lithium-Ion Battery Based on Improved Particle Filtering
Frontiers in Energy Research, 2022 Remaining useful life (RUL) prediction of lithium-ion batteries plays an important role in battery failure prediction and health management (PHM).
Tiezhou Wu +3 more
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Homography augmented particle filter SLAM [PDF]
Metrology and Measurement Systems, 2023 The article presents a comprehensive study of a visual-inertial simultaneous localization and mapping (SLAM) algorithm designed for aerial vehicles. The goal of the research is to propose an improvement to the particle filter SLAM system that allows for ...
Paweł Leszek Słowak, Piotri Kaniewsk
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The Rao-Blackwellized Particle Filter: A Filter Bank Implementation
EURASIP Journal on Advances in Signal Processing, 2010 For computational efficiency, it is important to utilize model structure in particle filtering. One of the most important cases occurs when there exists a linear Gaussian substructure, which can be efficiently handled by Kalman filters.
Gustaf Hendeby +2 more
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IEEE Access, 2019 At present, urban computing and intelligence has become an important topic in the research field of artificial intelligence. On the other hand, computer vision as a crucial bridge between urban world and artificial intelligence is playing a key role in ...
Li Huang +5 more
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A hybrid particle-ensemble Kalman filter for problems with medium nonlinearity.
PLoS ONE, 2021 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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