Results 31 to 40 of about 64,413 (127)
Spectral diagonal ensemble Kalman filters
, 2014 A new type of ensemble Kalman filter is developed, which is based on replacing the sample covariance in the analysis step by its diagonal in a spectral basis.
Kasanický, Ivan +2 more
core +2 more sources
Modeling errors in Kalman filters [PDF]
Suboptimal filters based on erroneous models of system dynamics and on a priori ...
Nishimura, T.
core +1 more source
The Ensemble Kalman Filter: A Signal Processing Perspective
, 2017 The ensemble Kalman filter (EnKF) is a Monte Carlo based implementation of the Kalman filter (KF) for extremely high-dimensional, possibly nonlinear and non-Gaussian state estimation problems.
Fritsche, Carsten +3 more
core +1 more source
Systolic VLSI for Kalman filters [PDF]
A novel two-dimensional parallel computing method for real-time Kalman filtering is presented. The mathematical formulation of a Kalman filter algorithm is rearranged to be the type of Faddeev algorithm for generalizing signal processing.
Chang, J. J., Yeh, H.-G.
core +1 more source
Effects of Personalization on Gait-State Tracking Performance Using Extended Kalman Filters. [PDF]
Rep U S, 2023 Montes-Pérez JA, Thomas GC, Gregg RD.
europepmc +1 more source
Vectorization of linear discrete filtering algorithms [PDF]
Linear filters, including the conventional Kalman filter and versions of square root filters devised by Potter and Carlson, are studied for potential application on streaming computers.
Schiess, J. R.
core +1 more source
Nonlinear stability of the ensemble Kalman filter with adaptive covariance inflation [PDF]
, 2015 The Ensemble Kalman filter and Ensemble square root filters are data assimilation methods used to combine high dimensional nonlinear models with observed data.
Kelly, David +2 more
core
Battery-SOC Estimation for Hybrid-Power UAVs Using Fast-OCV Curve with Unscented Kalman Filters. [PDF]
Sensors (Basel), 2023 He Z +5 more
europepmc +1 more source
Recursive Estimation of Orientation Based on the Bingham Distribution [PDF]
, 2013 Directional estimation is a common problem in many tracking applications. Traditional filters such as the Kalman filter perform poorly because they fail to take the periodic nature of the problem into account.
Gilitschenski, Igor +3 more
core
Developments of inverse analysis by Kalman filters and Bayesian methods applied to geotechnical engineering. [PDF]
Proc Jpn Acad Ser B Phys Biol Sci, 2023 Murakami A, Fujisawa K, Shuku T.
europepmc +1 more source