Results 121 to 130 of about 26,219 (311)
A state is said to be diffuse if its covariance matrix is arbitrarily large. Using a modified form of the Kalman filter, necessary and sufficient conditions for the existence of diffuse constructs are obtained. Applications to likelihood evaluation, diffuse prediction and diffuse smoothing are given.
openaire +2 more sources
The Sector Liquidity Timing Ability of Bond Mutual Funds
ABSTRACT We investigate whether bond mutual fund managers exhibit market liquidity timing skills in the U.S. corporate bond market. At the portfolio level, we find only weak evidence that bond funds adjust their overall market exposure in anticipation of changes in corporate bond market liquidity.
Zhengnan Yin +3 more
wiley +1 more source
Dynamic Mode Decomposition (DMD) for Low‐Latency Real‐Time Cardiac MRI
ABSTRACT Purpose To demonstrate dynamic mode decomposition (DMD) for high spatiotemporal low‐latency online reconstruction in 2D real‐time cardiac MRI. Methods DMD was applied to 2D spiral balanced steady state free precession (bSSFP) real‐time adult and fetal cardiac MRI at 0.55 T, with data from 10 healthy adult volunteers (3F/7M; age: 21–49; BMI: 20–
Ecrin Yagiz +5 more
wiley +1 more source
Application of Kalman filtering based on sequential processing for satellite navigation
In order to reduce the operational volume and ensure the real-time capability of navigation algorithm of Kalman filtering,a novel filtering method called single-satellite sequential extended Kalman filtering (S3EKF) was proposed based on extended Kalman ...
Can-hui CHEN +2 more
doaj +2 more sources
BART Streams: Real‐Time Reconstruction Using a Modular Framework for Pipeline Processing
ABSTRACT Purpose To create modular solutions for interactive real‐time MRI using reconstruction algorithms implemented in BART. Methods A new protocol for streaming of multidimensional arrays is presented and integrated into BART. The new functionality is demonstrated using examples for cardiac interactive real‐time MRI based on radial FLASH, where ...
Philip Schaten +4 more
wiley +1 more source
Inertial‐Based LQG Control: A New Look at Inverted‐Pendulum Stabilization
ABSTRACT Linear‐quadratic Gaussian (LQG) control is a well‐established method for optimal control through state estimation, particularly in stabilizing an inverted pendulum on a cart. In standard laboratory setups, sensor redundancy enables direct measurement of configuration variables using displacement sensors and rotary encoders. However, in outdoor
Daniel Engelsman, Itzik Klein
wiley +1 more source
Boundary Value Problems Arising in Kalman Filtering
The classic Kalman filtering equations for independent and correlated white noises are ordinary differential equations (deterministic or stochastic) with the respective initial conditions. Changing the noise processes by taking them to be more realistic
Bashirov Agamirza +2 more
doaj
Process fault prognosis using a fuzzy-adaptive unscented Kalman predictor [PDF]
By monitoring the future process status via information prediction, process fault prognosis is able to give an early alarm and therefore prevent faults, when the faults are still in their early stages.
Sheng Chen +5 more
core +1 more source
Decision‐making in integrated pest management (IPM) corresponds to an optimisation problem where the plant–pest dynamics and the control actions are constraints and where the objective function accounts for the costs of the treatments and the total income at the harvest time.
Luca Rossini +2 more
wiley +1 more source
An Economist´s guide to the Kalman filter [PDF]
Almost since its appearance, the Kalman Filter (KF) has been successfully used in control engineering. Unfortunately, most of its important results have been published in engineering journals with language, notation and style proper of engineers. In this
Francisco Venegas, Enrique de Alba
core

