Results 31 to 40 of about 131,948 (262)
Convergence rates of Gaussian ODE filters [PDF]
Statistics and Computing, 2020 AbstractA recently introduced class of probabilistic (uncertainty-aware) solvers for ordinary differential equations (ODEs) applies Gaussian (Kalman) filtering to initial value problems. These methods model the true solutionxand its firstqderivativesa priorias a Gauss–Markov process$${\varvec{X}}$$X, which is then iteratively conditioned on information
Hans Kersting +2 more
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Results in Physics, 2019 In this paper, the Optical Wireless Communication (OWC) channels for different optical filters are analysed and compared with their previous model. Performance analysis is done using different optical filters namely Bessel, Trapezoidal, Gaussian and ...
K.H. Shakthi Murugan, M. Sumathi
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Particle Gaussian mixture filters-I
Automatica, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dilshad Raihan Akkam Veettil +1 more
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A numerical integration-based Kalman filter for moderately nonlinear systems
Tellus: Series A, Dynamic Meteorology and Oceanography, 2020 This paper introduces a computationally efficient data assimilation scheme based on Gaussian quadrature filtering that potentially outperforms current methods in data assimilation for moderately nonlinear systems.
Sarah A. King +2 more
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A nonlinear edge –preserving smoothing filter for edge detection on color and gray satellite images
Iraqi Journal of Physics, 2019 A nonlinear filter for smoothing color and gray images corrupted by Gaussian noise is presented in this paper. The proposed filter designed to reduce the noise in the R,G, and B bands of the color images and preserving the edges.
Suhad A. Hamdan
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Multiplicative Gaussian Particle Filter
CoRR, 2020 We propose a new sampling-based approach for approximate inference in filtering problems. Instead of approximating conditional distributions with a finite set of states, as done in particle filters, our approach approximates the distribution with a weighted sum of functions from a set of continuous functions.
Xuan Su, Wee Sun Lee, Zhen Zhang 0008
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IEEE AccessThe Gaussian sum extended Kalman filter (GSEKF), as a nonlinear non-Gaussian filter, disregards the impact of colored noise components in non-Gaussian noise engendered by external interference, which may compromise the estimation accuracy in global ...
Qing Dai +3 more
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Maximum Correntropy Criterion Kalman Filter for α-Jerk Tracking Model with Non-Gaussian Noise
Entropy, 2017 As one of the most critical issues for target track, α -jerk model is an effective maneuver target track model.
Bowen Hou +5 more
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Machine Learning Algorithm for Surface Quality Analysis of Friction Stir Welded Joint
Journal of Mechanical Engineering, 2020 The Friction Stir Welding process usually produces weld members of good quality compared to composite weld made with a standard welding process. However, there is a possibility of the formation of various defects if the input parameters are not properly ...
Mishra Akshansh
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FEBS Open Bio, EarlyView.Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
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