Evaluation of noise removal in signals by LULU operators

Abstract

The LULU smoothers are effective nonlinear smoothers for signals. We investigate their ability to remove different noise types, namely symmetrical and skewed, as well as heavy- and light-tailed, thereby uncovering the true underlying signal. These smoothers prove very effective in removing noise originating from the same distribution as that noise which originally contaminated the signal.