Results 31 to 40 of about 623,679 (298)

On credibility and robustness with the Kalman filter [PDF]

open access: yes, 1995
Bühlmann (1967) gave a formal Bayesian derivation of the credibility ratio estimators that actuaries had been using for many years. Since then various generalizations of Bühlmann's model have appeared in the literature, each relaxing the i.i.d ...
Garrido, José, Romera, Rosario
core   +1 more source

TSS-22/demystifying-kalman-filter: First release

open access: yes, 2023
An attempt at demystifying the Kalman filter, in order to stop making it look more complex than it ...
TSS-22
core   +1 more source

Application of H∞ Filter on the Angular Rate Matching in the Transfer Alignment

open access: yesDiscrete Dynamics in Nature and Society, 2016
The transfer alignment (TA) scheme is used for the initial alignment of Inertial Navigation System (INS) on dynamical base. The Kalman filter is often used in TA to improve the precision of TA.
Lijun Song, Zhongxing Duan, Jiwu Sun
doaj   +1 more source

Steady state Kalman filter design for cases and deaths prediction of Covid-19 in Greece

open access: yesResults in Physics, 2021
In this work we study the applicability of the steady state Kalman filter in order to predict new cases and deaths of Covid-19. We use the actual observations of new cases and deaths. First, we deal with short term prediction, namely daily prediction. We
N. Assimakis   +3 more
doaj   +1 more source

Friction coefficient estimation using an unscented Kalman filter [PDF]

open access: yes, 2014
The friction coefficient between a railway wheel and rail surface is a crucial factor in maintaining high acceleration and braking performance of railway vehicles; therefore, monitoring this friction coefficient is important.
Liang, Bo, Zhao, Yunshi, Iwnicki, Simon
core   +1 more source

Improvement of ECG Signal Noise Removal Using Recursive Kalman Filter [PDF]

open access: yesJournal of Intelligent Procedures in Electrical Technology, 2011
Nowadays, Kalman filter has been wildly used for solving the problem of real world. Kalman filter is a recursive filter that estimates the state of a linear dynamic system from a series of noisy measurements.
Sara Moein, Zahra Beheshti
doaj  

A comprehensive approach to predict a rocket's impact with stochastic estimators and artificial neural networks

open access: yesIET Signal Processing, 2021
One of the current ways to continue space research is to launch ballistic rockets that carry scientific payloads. To improve the accuracy of the instantaneous evolution of the payload impact on the Earths surface, it is necessary to estimate indirect ...
Jose Abreu   +2 more
doaj   +1 more source

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

Optimized Design of 3D Spatial Images Based on Kalman Filter Equation

open access: yesAdvances in Mathematical Physics, 2021
This paper takes the advantageous ability of Kalman filter equation as a means to jointly realize the accurate and reliable extraction of 3D spatial information and carries out the research work from the extraction of 3D spatial position information from
Wei Shan
doaj   +1 more source

Effective-SNR estimation for wireless sensor network using Kalman filter [PDF]

open access: yes, 2013
In many Wireless Sensor Network (WSN) applications, the availability of a simple yet accurate estimation of the RF channel quality is vital. However, due to measurement noise and fading effects, it is usually estimated through probe or learning based ...
Dai, Xuewu   +6 more
core   +1 more source

Home - About - Disclaimer - Privacy