文件名称:matlab_utilities
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This a collection of MATLAB functions for extended Kalman filtering, unscented Kalman filtering, particle filtering, and miscellaneous other things. These utilities are designed for reuse and I have found them very useful in many projects. The code has been vectorised for speed and is stable and fast.
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下载文件列表
压缩包 : 61549846matlab_utilities.zip 列表 assert.m chi_square_bound.m chi_square_density.m chi_square_mass.m chi_square_to_gauss.m Contents.m covariance_intersection.m demo_bearing_only.m demo_chi_square.m demo_ekf_filter.m demo_kmeans.m demo_particle_filter.m demo_unscented_filter.m distance_bhattacharyya.m distance_KLD.m distance_KLD_symmetric.m distance_mahalanobis.m distance_normalised.m dist_sqr.m dist_sqr_.m dist_sqr_v2.m EKF_update.m ellipse_mass.m ellipse_sigma.m gauss_entropy.m gauss_evaluate.m gauss_likelihood.m gauss_power.m gauss_regularise.m gauss_samples.m index_table.m inv_posdef.m inv_pseudo.m KF_update.m KF_update_cholesky.m KF_update_IEKF.m KF_update_joseph.m KF_update_simple.m kmeans.m line_plot_conversion.m multivariate_gauss.m numerical_Jacobian.m numerical_Jacobian_cd.m pi_to_pi.m readme.txt repcol.m reprow.m repvec.m sample_mean.m sample_mean_weighted.m sigma_ellipse.m sqrt_posdef.m stratified_random.m stratified_resample.m transform_to_global.m transform_to_relative.m uniform_random.m unscented_transform.m unscented_update.m