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A Floating-point Extended Kalman Filter Implementation for Autonomous Mobile Robots
(SPRINGER, 2009)
Localization and Mapping are two of the most important capabilities for autonomous mobile robots and have been receiving considerable attention from the scientific computing community over the last 10 years. One of the ...
Robust CT to US 3D-3D Registration by Using Principal Component Analysis and Kalman Filtering
(SPRINGER, 2016-01-01)
Algorithms based on the unscented Kalman filter (UKF) have been proposed as an alternative for registration of point clouds obtained from vertebral ultrasound (US) and computerised tomography (CT) scans, effectively handling ...
The Thirlwall's model of economic growth using state space representation and time-variying parameter stimation throught the Kalman filter: theory and empirical application for El Salvador, 1965-2010
(Universidad Torcuato Di Tella, 2014)
This thesis work centers its attention in understanding, from a Post Keynesian point of view, which are the main factors that have influenced the economic growth rate of El Salvador during the period of 1965 to 2010. The ...
Decentralized neural identifier and control for nonlinear systems based on extended Kalman filter
(2012)
A time-varying learning algorithm for recurrent high order neural network in order to identify and control nonlinear systems which integrates the use of a statistical framework is proposed. The learning algorithm is based ...
Time series forecasting via a higher order neural network trained with the extended kalman filter for smart grid applications
(2012)
This chapter presents the design of a neural network that combines higher order terms in its input layer and an Extended Kalman Filter (EKF)-based algorithm for its training. The neural network-based scheme is defined as ...
Dynamic estimation of an interest rate structure in Colombia. Empirical analysis using the kalman filter
(Elsevier, 2014)
The official estimation for the term structure model in Colombia is based on the Nelson and Siegel (1987) development which is widely accepted and used. This estimation is based on the curve fitting with available data, ...
Estimação de tempos de chegada de ônibus urbano utilizando filtros de Kalman
(Florianópolis, 2012)
Updating dynamic noise models with moving magnetoencephalographic (MEG) systems
(Institute of Electrical and Electronics Engineers Inc., 2019)
Optically pumped magnetometers have opened many possibilities for the study of human brain function using wearable moveable technology. In order to fully exploit this capability, a stable low-field environment at the sensors ...
Studies of the thermosphere,ionosphere and plasmasphere using wavelet analysis neural networks, and kalman filters
(University of Colorado, 2009)
This thesis presents a series of studies investigating the Earth's thermosphere, ionosphere, and plasmasphere using continuous wavelet analysis techniques, multi-layer feedforward neural networks, and Kalman filters, along ...
Parameter sensitivity of the WRF–LETKF system for assimilation of radar observations: Imperfect-model observing system simulation experiments
(American Meteorological Society, 2020-05)
Specification of suitable initial conditions to accurately forecast high-impact weather events associated with intense thunderstorms still poses a significant challenge for convective-scale forecasting. Radar data assimilation ...