Adaptive filtering approaches for non-Gaussian stable processes
Arikan Orhan, Belge Murat, Cetin, A.Enis, Erzin Engin
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/27762
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
- Conference Paper 
A large class of physical phenomenon observed in practice exhibit non-Gaussian behavior. In this paper, α-stable distributions, which have heavier tails than Gaussian distribution, are considered to model non-Gaussian signals. Adaptive signal processing in the presence of such kind of noise is a requirement of many practical problems. Since, direct application of commonly used adaptation techniques fail in these applications, new approaches for adaptive filtering for α-stable random processes are introduced.
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