NONPARAMETRIC-ESTIMATION OF A POSTERIORI DISTRIBUTIONS IN NONLINEAR FILTERING

High-accuracy methods of numerical integration of ordinary differential equations and efficient procedures of performing the discrete space-frequency Fourier transform are used for nonparametric estimation of the a posteriori probability density described by the Stratonovich evolution equation; thus, it is possible to considerably reduce the amount of computations as compared to conventional methods.