A robust computable approximation to the nonlinear filtering problem for a diffusion model is treated, where the system and data models are given by. The approximation (with approximation parameter h) is robust in the sense that it is locally Lipschitz continuous in the data y( °) (sup norm) uniformly inhand, ash→0, it converges to the optimal filter for the diffusion.