ROBUST SMOOTHING OF SIGNALS

Abstract

The problem of the extraction of the useful signal from a noisy background is one of the most important areas of signal processing. Order Statistic (OS) smoothers, based on amplitude ordering of signal samples, have been shown to offer an effective alternative to linear smoothers. It is the case particularly when there is uncertainty concerning noise statistics, or when the useful signal possesses local features such as sharp edges. In this paper we consider some linear and nonlinear (OS) smoothers, and propose a new smoothing algorithm. Simulation results are presented to illustrate the performance of the proposed smoother.