Results 21 to 30 of about 1,923,141 (282)
Feedback Particle Filter [PDF]
IEEE Transactions on Automatic Control, 2013 A new formulation of the particle filter for nonlinear filtering is presented, based on concepts from optimal control, and from the mean-field game theory. The optimal control is chosen so that the posterior distribution of a particle matches as closely as possible the posterior distribution of the true state given the observations. This is achieved by
Tao Yang 0017 +2 more
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Applied Sciences, 2022 In this paper, a particle filter design scheme for a robust nonlinear control system of uncertain heat exchange process against noise and communication time delay is presented.
Yuanhong Xu, Mingcong Deng
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A convolution particle filtering approach for tracking elliptical extended objects [PDF]
, 2013 This paper proposes a convolution particle filtering approach for extended object tracking. Convolution particle filters (CPFs) are likelihood free filters. They are based on convolution kernel probability density representation.
Gning, Amadou +3 more
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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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2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004 Using a Parzen density estimator, any distribution can be approximated arbitrarily close by a sum of kernels. In particle filtering, this fact is utilized to estimate a probability density function with Dirac delta kernels; when the distribution is discretized it becomes possible to solve an otherwise intractable integral.
Lehn-Schiøler, Tue +2 more
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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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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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Particle filter with swarm move for optimization [PDF]
, 2008 Copyright @ Springer-Verlag Berlin Heidelberg 2008.We propose a novel generalized algorithmic framework to utilize particle filter for optimization incorporated with the swarm move method in particle swarm optimization (PSO).
Yang, S +11 more
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