Results 61 to 70 of about 425,572 (237)

Maximum correntropy Kalman filter [PDF]

open access: yesAutomatica, 2017
Traditional Kalman filter (KF) is derived under the well-known minimum mean square error (MMSE) criterion, which is optimal under Gaussian assumption. However, when the signals are non-Gaussian, especially when the system is disturbed by some heavy-tailed impulsive noises, the performance of KF will deteriorate seriously.
Badong Chen   +3 more
openaire   +4 more sources

Volatility estimation for COVID-19 daily rates using Kalman filtering technique

open access: yesResults in Physics, 2021
This paper discusses the use of stochastic modeling in the prognosis of Corona Virus-Infected Disease 2019 (COVID-19) cases. COVID-19 is a new disease that is highly infectious and dangerous.
Md Al Masum Bhuiyan   +3 more
doaj   +1 more source

Differentially private Kalman filtering [PDF]

open access: yes2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2012
9 pages.
Jerome Le Ny, George J. Pappas
openaire   +2 more sources

EFFICIENCY ANALYSIS OF EXTENDED KALMAN FILTERING, UNSCENTED KALMAN FILTERING AND UNSCENTED PARTICLE FILTERING

open access: yesНаучный вестник МГТУ ГА, 2016
The paper contains algorithms for solving the problem of nonlinear filtering. The nonlinear approximate filters presented are: the extended Kalman filter (EKF), the uncented Kalman filter (UKF) and unscented Particle Filter (UPF). The flow-charts for the
I. A. Kudryavtseva
doaj  

Estimation of Sideslip Angle Based on Extended Kalman Filter

open access: yesJournal of Electrical and Computer Engineering, 2017
The sideslip angle plays an extremely important role in vehicle stability control, but the sideslip angle in production car cannot be obtained from sensor directly in consideration of the cost of the sensor; it is essential to estimate the sideslip angle
Yupeng Huang   +3 more
doaj   +1 more source

An elementary introduction to Kalman filtering [PDF]

open access: yesCommunications of the ACM, 2019
Demystifying the uses of a powerful tool for uncertain information.
Yan Pei   +3 more
openaire   +2 more sources

A Class of Quaternion Kalman Filters [PDF]

open access: yesIEEE Transactions on Neural Networks and Learning Systems, 2014
The existing Kalman filters for quaternion-valued signals do not operate fully in the quaternion domain, and are combined with the real Kalman filter to enable the tracking in 3-D spaces. Using the recently introduced HR-calculus, we develop the fully quaternion-valued Kalman filter (QKF) and quaternion-extended Kalman filter (QEKF), allowing for the ...
Cyrus Jahanchahi, Danilo P. Mandic
openaire   +3 more sources

Linear and nonlinear filtering in mathematical finance: a review [PDF]

open access: yes, 2010
Copyright @ The Authors 2010This paper presents a review of time series filtering and its applications in mathematical finance. A summary of results of recent empirical studies with market data are presented for yield curve modelling and stochastic ...
Date, P   +3 more
core   +1 more source

Wavelet ensemble Kalman filters [PDF]

open access: yesProceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems, 2011
4 pages, 4 ...
Jonathan D. Beezley   +2 more
openaire   +2 more sources

A study on the effects of Kalman Filter on performance of IPMC-Based Active Vibration Control Scheme [PDF]

open access: yes, 2010
This paper evaluates the effectiveness and performance of Ionic Polymer Metal Composite (IPMC) based active vibration control scheme equipped with the Kalman estimation algorithm.
Bandopadhya, Dibakar   +1 more
core   +1 more source

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