Results 231 to 240 of about 65,516 (291)
An Improved Variational Bayesian-Based Adaptive Federated Kalman Filter for Multi-Sensor Integrated Navigation Systems. [PDF]
Sensors (Basel)Yan Y, Yang J.
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Probability forecasts – Part 1: ensembles and probabilistic forecasts
Weather, Volume 81, Issue 3, Page 82-88, March 2026.Ensemble weather forecasts have been in use for many years to help forecasters understand uncertainty in weather predictions but are now becoming core to some operational Numerical Weather Prediction (NWP) systems. Ensembles offer greater predictive skill and information content than deterministic forecasts but are more complex to interpret and ...
Ken Mylne
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A Study of a GNSS/IMU System for Object Localization and Spatial Position Estimation. [PDF]
Sensors (Basel)Miletiev R, Petkov PZ, Yordanov R.
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A Novel Denoising Method for Mud Continuous-Wave Signals Based on Selective Ensemble Strategy with Particle Swarm Optimization. [PDF]
Sensors (Basel)Huang C +6 more
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Advanced signal-processing framework for remote photoplethysmography-based heart rate measurement: Integrating adaptive Kalman filtering with discrete wavelet transformation. [PDF]
PLoS OneDebnath U, Kim S.
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International Journal of Control, 1997
For an implicitly defined discrete system, a new algorithm for Kalman filtering is developed and an efficient numerical implementation scheme is proposed. Unlike the traditional explicit approach, the implicit filter can be readily applied to ill-conditioned systems and allows for generalization to descriptor systems. The implementation of the implicit
M, Skliar, W F, Ramirez
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For an implicitly defined discrete system, a new algorithm for Kalman filtering is developed and an efficient numerical implementation scheme is proposed. Unlike the traditional explicit approach, the implicit filter can be readily applied to ill-conditioned systems and allows for generalization to descriptor systems. The implementation of the implicit
M, Skliar, W F, Ramirez
openaire +2 more sources
Asian Journal of Control, 2016
AbstractIn the Extended Kalman Filter (EKF), only the first‐order term of the Taylor series is employed. Hence, the nonlinearities in the system dynamics are not fully considered. In the proposed method, to overcome this drawback, the higher‐order terms of the Taylor series are considered and a new filter, based on the Modal series, is designed.
Mohammaddadi, Gh. +2 more
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AbstractIn the Extended Kalman Filter (EKF), only the first‐order term of the Taylor series is employed. Hence, the nonlinearities in the system dynamics are not fully considered. In the proposed method, to overcome this drawback, the higher‐order terms of the Taylor series are considered and a new filter, based on the Modal series, is designed.
Mohammaddadi, Gh. +2 more
openaire +1 more source