One of the most commonly used tools in systems science is that of nonlinear filtering. Applications can be found in control engineering, telecommunications, radar tracking, environmental systems, economics and many other areas. The goal of this paper is to contribute to the application of nonlinear filtering theory by presenting insights into the role of temporal sampling especially the use of up-sampling and down-sampling. (C) 2012 Elsevier Ltd. All rights reserved.