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Particle Filters: A Hands-On Tutorial [PDF]
Sensors, 2021 The particle filter was popularized in the early 1990s and has been used for solving estimation problems ever since. The standard algorithm can be understood and implemented with limited effort due to the widespread availability of tutorial material and ...
Jos Elfring +2 more
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Design of Infinite Impulse Response Filters Based on Multi-Objective Particle Swarm Optimization
SignalsThe goal of this study is to explore the effectiveness of applying multi-objective particle swarm optimization (MOPSO) algorithms in the design of infinite impulse response (IIR) filters.
Te-Jen Su +5 more
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Particle filters for high‐dimensional geoscience applications: A review [PDF]
Quarterly Journal of the Royal Meteorological Society, 2019 Roland Potthast +2 more
exaly +2 more sources
Applied Sciences, 2021 A laboratory study was conducted to evaluate 11 vehicular cabin filters (including electrostatic filters) in removing fine particles. Two filters with charcoal were also evaluated to understand their usefulness in removing five common volatile organic ...
Tak W. Chan +3 more
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Performance Analysis of Resampling Algorithms of Parallel/Distributed Particle Filters
IEEE Access, 2021 Particle filters have been widely used in various fields due to their advantages in dealing with non-linear and/or non-Gaussian systems. A large number of particles are needed to guarantee the convergence of particle filters for the state estimation ...
Xudong Zhang +3 more
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Knowledge Transfer Based on Particle Filters for Multi-Objective Optimization
Mathematical and Computational Applications, 2023 Particle filters, also known as sequential Monte Carlo (SMC) methods, constitute a class of importance sampling and resampling techniques designed to use simulations to perform on-line filtering.
Xilu Wang, Yaochu Jin
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Particle Filter Based on Harris Hawks Optimization Algorithm for Underwater Visual Tracking
Journal of Marine Science and Engineering, 2023 Due to the complexity of the underwater environment, tracking underwater targets via traditional particle filters is a challenging task. To resolve the problem that the tracking accuracy of a traditional particle filter is low due to the sample ...
Junyi Yang, Yutong Yao, Donghe Yang
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A Local Particle Filter Using Gamma Test Theory for High‐Dimensional State Spaces
Journal of Advances in Modeling Earth Systems, 2020 Particle filters are non‐Gaussian filters, which means that the assumption that the error distribution of the ensemble should be Gaussian is unnecessary.
Zhenwu Wang +2 more
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Buildings, 2021 Air filters are crucial components of a building ventilation system that contribute to improving indoor air quality, but they are typically associated with relatively high pressure drops. The purpose of the study is to evaluate the effect of additives on
Roberta Orlando +4 more
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Atmospheric Environment: X, 2020 The enforcement of more stringent type approval emission standards de facto mandate manufacturers to equip vehicles with particle filters, which reduces the particle number concentration in automotive emissions to levels below typical ambient ...
Markus Bainschab +2 more
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