├── GM-PHD-Filter ├── GM-PHD-Filter-Matlab │ ├── ExtractStates.m │ ├── GM_PHD_Filter_demo.m │ ├── Hungarian.m │ ├── Predict.m │ ├── PruneAndMerge.m │ ├── ReadMe.md │ ├── Set_model.m │ ├── Update.m │ ├── gen_clutter.m │ ├── gen_newstates.m │ ├── gen_observations.m │ ├── ospa_dist.m │ ├── plot_cardinality.m │ ├── plot_ospa.m │ └── plot_results.m ├── GM-PHD-Filter-Python │ ├── GM_PHD_Filter.py │ ├── GM_PHD_Filter_demo.py │ └── ReadMe.md └── ReadMe.md ├── N-type-PHD-Filter └── N-type-GM-PHD-Filter │ ├── GenerateObservation.m │ ├── Hungarian.m │ ├── N_type_GM_PHD_Calculate_Performance_Metric.m │ ├── N_type_GM_PHD_Construct_Update_Components.m │ ├── N_type_GM_PHD_Create_Birth.m │ ├── N_type_GM_PHD_ExtractStates.m │ ├── N_type_GM_PHD_Filter.m │ ├── N_type_GM_PHD_Initialisation.m │ ├── N_type_GM_PHD_Predict_Persistent.m │ ├── N_type_GM_PHD_PruneAndMerge.m │ ├── N_type_GM_PHD_Simulate_Initialise.m │ ├── N_type_GM_PHD_Simulate_Measurements.m │ ├── N_type_GM_PHD_Simulate_Plot.m │ ├── N_type_GM_PHD_Update.m │ ├── OSPAandCardinalityQuadGMPHD.m │ ├── ReadMe.md │ ├── error_ellipse.m │ ├── ospa_dist.m │ └── simulatedData │ ├── CardinalityByStatesSizeIndep06.mat │ ├── CardinalityByStatesSizeQuad06.mat │ ├── CardinalityByWeightsIndep06.mat │ ├── CardinalityByWeightsQuad06.mat │ ├── CardinalityGT06.mat │ ├── metric_historyIndep06.mat │ ├── metric_historyQuad06.mat │ ├── simMeasurementHistory06.mat │ ├── simTarget10History4.mat │ ├── simTarget11History4.mat │ ├── simTarget12History4.mat │ ├── simTarget13History4.mat │ ├── simTarget14History4.mat │ ├── simTarget15History4.mat │ ├── simTarget16History4.mat │ ├── simTarget1History4.mat │ ├── simTarget2History4.mat │ ├── simTarget3History4.mat │ ├── simTarget4History4.mat │ ├── simTarget5History4.mat │ ├── simTarget6History4.mat │ ├── simTarget7History4.mat │ ├── simTarget8History4.mat │ └── simTarget9History4.mat ├── README.md ├── RFS_tracking_algorithms └── readme └── SingleTargetFiltering ├── EKF └── EKF-Matlab │ ├── ekf_predict_mat.m │ ├── ekf_update_mat.m │ ├── extendedKF.m │ ├── extendedKF_demo.m │ ├── gen_newstate_fn.m │ └── gen_observation_fn.m ├── KF ├── KF-Cpp │ ├── CMakeLists.txt │ ├── KalmanFilter.cpp │ ├── KalmanFilter.hpp │ ├── KalmanFilter_demo.cpp │ ├── KalmanFilter_display.py │ └── README.md ├── KF-Matlab │ ├── KalmanFilter.m │ └── KalmanFilter_demo.m └── KF-Python │ ├── KalmanFilter.py │ └── KalmanFilter_demo.py ├── Other_UKF_EKF_demos ├── README ├── demo1 │ ├── ekf_demo.m │ ├── ffun1.m │ ├── hfun1.m │ ├── jacobian_ffun1.m │ ├── jacobian_hfun1.m │ └── ukf_demo1.m ├── demo2 │ ├── ffun2.m │ ├── hfun2.m │ ├── jacobian_ffun2.m │ ├── jacobian_hfun2.m │ └── ukf_demo2.m └── ukf │ ├── scaledSymmetricSigmaPoints.m │ └── ukf.m ├── PF └── PF-Matlab │ ├── PF_demo.m │ ├── compute_likelihood.m │ ├── gen_gms.m │ ├── gen_newstate_fn.m │ ├── gen_observation_fn.m │ ├── particleFilter.m │ └── resample.m └── UKF └── UKF-Matlab ├── gen_newstate_fn.m ├── gen_observation_fn.m ├── unscentedKF.m ├── 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