particle filter paper and source code for example2

..................................................\demo_bearing_only.m

..................................................\EKF_update.m

..................................................\gauss_likelihood.m

..................................................\gauss_samples.m

..................................................\KF_update.m

..................................................\KF_update_cholesky.m

..................................................\Novel approach to nonlinear_non-Gaussian Bayesian state estimation.pdf

..................................................\numerical_Jacobian.m

..................................................\pi_to_pi.m

..................................................\sample_mean.m

..................................................\sigma_ellipse.m

..................................................\sqrt_posdef.m

..................................................\stratified_random.m

..................................................\stratified_resample.m

..................................................\unscented_update.m