Results 11 to 20 of about 3,309,859 (289)
Parameter estimation for non-linear systems: an application to vehicle dynamics [PDF]
, 2009 This work presents an investigation into the parameter estimation of suspension components and the vertical motions of wheeled vehicles from experimental data.
Pedchote, C.
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Particle Learning Methods for State and Parameter Estimation [PDF]
, 2012 This paper presents an approach for online parameter estimation within particle lters. Current research has mainly been focused towards the estimation of static parameters.
Fearnhead, Paul +3 more
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Two-Dimensional Off-Grid DOA and Polarization Parameter Estimation for Parallel Coprime Polarization Sensitive Array [PDF]
Hangkong bingqi, 2023 For the two-dimensional (2-D) spatial angle and polarization parameter estimation problem of spatial electromagnetic signals, a 2-D off-grid DOA and polarization parameter estimation algorithm based on dual parallel coprime polarization sensitive array ...
Zeng Fuhong, Peng Zhanli, Si Weijian, Wang Tingjia, Sun Mingguo
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Parameter estimation of quantized DARMA systems using weighted least squares
IET Control Theory & Applications, 2023 This paper is concerned with parameter estimate of deterministic autoregressive moving average (DARMA) systems with uniform quantized output observations.
Lida Jing
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Accuracy of some robust estimators based upon prefiltering of the input/output data [PDF]
Modeling, Identification and Control, 1992 By prefiltering the input/output data and employing certain decentralized estimation techniques, it is possible to improve the robustness of some estimators significantly.
Rolf Henriksen
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Parameter Estimation of Ship Manoeuvring Equations [PDF]
Modeling, Identification and Control, 1983 Model tests performed at the Norwegian Hydrodynamic Laboratories (NHL), to identify ship manoeuvring equations, are described. Parameter estimation techniques are used to determine the mathematical model.
Tore Flobakk
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EURASIP Journal on Wireless Communications and Networking, 2020 For the average state of the normal distribution parameter estimation, regular normal distribution parameter gives an estimation, but the carbonation depth of influence factors is more of a parameter estimation, shooting low deficiencies; therefore ...
Min Cai, Jun Yang
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Parameter Estimation of Polynomial-Phase Signals
Известия высших учебных заведений России: Радиоэлектроника, 2020 Introduction. Polynomial phase signals frequently appear in radar, sonar, communication and technical applications. Therefore, estimation of polynomial phase coefficients of such signals is an urgent problem in signal theory. Currently, a large number of
A. A. Monakov
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Applied Sciences, 2023 Accurate parameter estimation is essential for modeling the statistical characteristics of ocean clutter. Common parameter estimation methods in generalized Pareto distribution models have limitations, such as restricted parameter ranges, lack of closed ...
Bin Yang, Qing Li
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The effect on cosmological parameter estimation of a parameter dependent covariance matrix
The Open Journal of Astrophysics, 2019 Cosmological large-scale structure analyses based on two-point correlation functions often assume a Gaussian likelihood function with a fixed covariance matrix. We study the impact on cosmological parameter estimation of ignoring the parameter dependence
Darsh Kodwani +2 more
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