Results 21 to 30 of about 199,738 (266)
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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Particle Filtering With Invertible Particle Flow [PDF]
IEEE Transactions on Signal Processing, 2017 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 ...
Yunpeng Li 0001, Mark Coates
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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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SKELETONIZATION WITH PARTICLE FILTERS [PDF]
International Journal of Pattern Recognition and Artificial Intelligence, 2010 We present a novel method to obtain high quality skeletons of binary shapes. The obtained skeletons are connected and one pixel thick. They do not require any pruning or any other post-processing. The computation is composed of two major parts. First, a small set of salient contour points is computed.
Yuchun Tang +5 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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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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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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Influence of grain composition and thickness of filter layer on seepage characteristics of dam
Shuili Shuiyun Gongcheng Xuebao, 2021 The grain size composition and thickness of filter layer and its structure have significant influence on the seepage characteristics of dam. For a clay core dam project, the particle gradation of filter material on both sides of the clay core (upper and ...
CAI Shixing +4 more
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Nudging the particle filter [PDF]
Statistics and Computing, 2019 AbstractWe investigate a new sampling scheme aimed at improving the performance of particle filters whenever (a) there is a significant mismatch between the assumed model dynamics and the actual system, or (b) the posterior probability tends to concentrate in relatively small regions of the state space.
Ömer Deniz Akyildiz, Joaquín Míguez
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