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Efficient Synthesis of Gaussian Filters by Cascaded Uniform Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986Gaussian filtering is an important tool in image processing and computer vision. In this paper we discuss the background of Gaussian filtering and look at some methods for implementing it. Consideration of the central limit theorem suggests using a cascade of ``simple'' filters as a means of computing Gaussian filters. Among ``simple'' filters, uniform-
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A distributed particle-PHD filter using arithmetic-average fusion of Gaussian mixture parameters
Information Fusion, 2021Tiancheng Li, Franz Hlawatsch
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Algorithm of Gaussian Sum Filter Based on SGQF for Nonlinear Non-Gaussian Models
International Journal of Control, Automation and Systems, 2021Sheng Li, Qingwei Chen
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A Novel Robust GaussianâStudent's t Mixture Distribution Based Kalman Filter
IEEE Transactions on Signal Processing, 2019Yulong Huang +2 more
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Gaussian filter for nonlinear systems with one-step randomly delayed measurements
Automatica, 2013Xiaoxu Wang, Quan Pan
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Adaptive Gaussian Sum Filter for Nonlinear Bayesian Estimation
IEEE Transactions on Automatic Control, 2011Gabriel Terejanu +2 more
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Gaussian filter for nonlinear systems with correlated noises at the same epoch
Automatica, 2015Yulong Huang +2 more
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A Gaussianâmixture ensemble transform filter
Quarterly Journal of the Royal Meteorological Society, 2012Sebastian Reich
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Gaussian mixture PHD filter for jump Markov models based on best-fitting Gaussian approximation
Signal Processing, 2011Wenling Li, Yingmin Jia
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