Results 11 to 20 of about 3,435,907 (207)
IEEE Access, 2020 This paper concerns the nonlinear filter designing methods in the information space of the nonlinear systems with non-Gaussian noises. Firstly, the prediction information vector is obtained by the traditional square root cubature information filtering ...
Xiaoliang Feng +4 more
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Euclidean Quantum Mechanics and Universal Nonlinear Filtering
Entropy, 2009 An important problem in applied science is the continuous nonlinear filtering problem, i.e., the estimation of a Langevin state that is observed indirectly.
Bhashyam Balaji
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A Novel Real-Time Filtering Method to General Nonlinear Filtering Problem Without Memory
IEEE Access, 2021 In this paper, the filtering problem for the general time-invariant nonlinear state-observation system is considered. Our work is based on the Yau-Yau filtering framework developed by S.-T. Yau and the third author in 2008.
Ji Shi +2 more
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Poisson's Equation in Nonlinear Filtering [PDF]
SIAM Journal on Control and Optimization, 2014 25 pages; accepted to SIAM Journal on Control and ...
Richard S. Laugesen +3 more
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Nonlinear filtering of image contours defined in a complex-valued code
Компьютерная оптика, 2020 The article describes special aspects of the organization of nonlinear filtering of image contours defined as a sequence of complex numbers. An effect of scale and rotation of the contour on the filtering result is studied. Changes in the contour spectra
R.G. Khafizov, S.A. Okhotnikov
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Signal Processing, 2015 The paper discusses a novel sub-class of linear-in-the-parameters nonlinear filters, the Legendre nonlinear filters. The novel sub-class combines the best characteristics of truncated Volterra filters and of the recently introduced even mirror Fourier nonlinear filters, in particular: (i) Legendre nonlinear filters can arbitrarily well approximate any ...
Alberto Carini +3 more
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Nonlinear filtering with transfer operator [PDF]
2013 American Control Conference, 2013 This paper presents a new nonlinear filtering algorithm that is shown to outperform state-of-the-art particle filters with resampling. Starting from the Itˆo stochastic differential equation, the proposed algorithm harnesses Karhunen- Lo'eve expansion to derive an approximate non-autonomous dynamical system, for which transfer operator based density ...
Dutta, Parikshit +2 more
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Random Weighting-Based Nonlinear Gaussian Filtering
IEEE Access, 2020 The Gaussian filtering is a commonly used method for nonlinear system state estimation. However, this method requires both system process noise and measurement noise to be white noise sequences with known statistical characteristics.
Zhaohui Gao +4 more
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Derivative-Free Distributed Filtering for MIMO Robotic Systems under Delays and Packet Drops
International Journal of Advanced Robotic Systems, 2013 This paper presents an approach to distributed state estimation-based control of nonlinear MIMO systems, capable of incorporating delayed measurements in the estimation algorithm while also being robust to packet losses.
Gerasimos G. Rigatos
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Bayesian Nonlinear Filtering via Information Geometric Optimization
Entropy, 2017 In this paper, Bayesian nonlinear filtering is considered from the viewpoint of information geometry and a novel filtering method is proposed based on information geometric optimization.
Yubo Li +5 more
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