A Robust Adaptive Filtering Method based on Independent Component Analysis (ICA)

Abstract

The purpose of this paper is to present a method that uses Independent Component Analysis (ICA) in order to filter real-valued signals. The method is highly robust to noise, as it can estimate with high precision the noise that affects the input signal. To underline this, comparisons to high order, multiband FIR filters are performed. An application that uses this method, regarding radar image shape extraction and classification, is also presented.