Testing the Robustness of the Feature Selective Validation (FSV) method for EMC/SI Applications

The Feature Selective Validation (FSV) method has demonstrated a number of advantages over alternative assessment methods for validation of computational electromagnetics. For example, the availability of diagnostic information and the ability to mirror human perception. However, the FSV is a heuristically based technique and, in order to have confidence in the method itself, an understanding of how the output varies as the internal coefficients vary is important. The first, important, step in FSV is to filter the original signals into ‘low’ and ‘high’ transform portions, and this paper looks at the effect of varying the coefficients associated with this operation. It supports that the current partitioning is optimum but notes the areas where substantial care is needed in selection of the parameters.