Error Functions of Gaussian Fields Using Radial and Spiral Sampling

The purpose of this paper is to present two different spatial sample configurations in order to measure the error function of a given Gaussian random field. This Gaussian field is described by some two-dimensional covariance functions. We found these functions at the output of RC circuits in series. For this study we used the Sampling-Reconstruction Procedure (SRP) based on the conditional mean rule. Moreover we changed the covariance function, the quantity of samples and the distance between them. The results in this study demonstrate how all the above factors influence the error functions.