Results 11 to 20 of about 258,729 (270)
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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Entropy, 2021 In this study, an intelligent computing paradigm built on a nonlinear autoregressive exogenous (NARX) feedback neural network model with the strength of deep learning is presented for accurate state estimation of an underwater passive target.
Wasiq Ali +4 more
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Recent advances on filtering and control for nonlinear stochastic complex systems with incomplete information: A survey [PDF]
, 2012 This Article is provided by the Brunel Open Access Publishing Fund - Copyright @ 2012 Hindawi PublishingSome recent advances on the filtering and control problems for nonlinear stochastic complex systems with incomplete information are surveyed.
Liang, J, Liu, Y, Shen, B, Wang, Z
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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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Data and Program Structure for a Modular Extended Kalman Filter [PDF]
Modeling, Identification and Control, 1988 The paper presents a data and program structure that makes it easier to implement a nonlinear process or measurement model when using the extended Kalman filter. This is achieved by a composite data type containing both the estimated value and covariance
Ingar Solberg
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The Hitchhiker's Guide to Nonlinear Filtering [PDF]
, 2019 Nonlinear filtering is the problem of online estimation of a dynamic hidden variable from incoming data and has vast applications in different fields, ranging from engineering, machine learning, economic science and natural sciences.
Kutschireiter, Anna +2 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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International Journal of Advanced Robotic Systems, 2011 The paper proposes derivative-free nonlinear Kalman Filtering for MIMO nonlinear dynamical systems. The considered nonlinear filtering scheme which is based on differential flatness theory extends the class of systems to which Kalman Filtering can be ...
Gerasimos G. Rigatos
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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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