EnKF in Matlab for a system of two PDEs modeling burglar behavior (model of Short et al.)
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Updated
Mar 10, 2018 - MATLAB
EnKF in Matlab for a system of two PDEs modeling burglar behavior (model of Short et al.)
Underwater Object Tracking using SONAR and Unscented Kalman Filter is a simulation aimed at modeling an underwater object tracking scenario using SONAR and the Unscented Kalman Filter (UKF). The project utilizes the Phased Array Toolbox in MATLAB to implement the SONAR equations in real-time.
Taha
MATLAB project for vehicle localization using UWB AoA and TDoA fusion, evaluated across multiple tracks with EKF, filtering, and NIS-based reliability.
Implementation of Linear Kalman Filter on KinectV2 skeleton tracking data using MATLAB.
Replication codes for paper on "Pruned skewed Kalman filter and smoother with application to DSGE models"
A comprehensive example of trajectory tracking in 2D using Kalman filtering.
Implementations of various trading strategies
A collection of time-efficient state estimation algorithms for the medium-fidelity WindFarmSimulator (WFSim) control model
Reconstruction of ionospheric maps in South America using an Ensemble of Kalman Filter
Experimental Data Processing course at Skoltech
This repository implements a fusion algorithm based on a constant velocity model to improve the accuracy of saccade parameter measurements using electrooculography (EOG) signals. By combining regression-based and threshold-based estimations, the method enhances the detection of saccade amplitude, velocity, and duration.
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