Adaptive filtering for non-Gaussian stable processes

Orhan Arikan, A. Enis Çetin, Engin Erzin

Abstract: A large class of physical phenomena observed in practice exhibit non-Gaussian behavior. In the letter /spl alpha/-stable distributions, which have heavier tails than Gaussian distributions, are considered to model non-Gaussian signals. Adaptive signal processing in the presence of such a noise is a requirement of many practical problems. Since direct application of commonly used adaptation techniques fail in these applications, new algorithms for adaptive filtering for /spl alpha/-stable random processes are introduced.<>

External IDs:dblp:journals/spl/ArikanCE94