Scalar random process is given with the model:
where wt and vt are white Gaussian noises with variances 10 and 1.
Process is simulalted for 50 time steps, and for inital state X0 = 0.1 the aposterior distribution p(xt|e1:t) is evaluated using the Particle Filter. Optimal number of particles is found by calculating MSE.
