Adaptive filtering for non-gaussian stable processes
Author
Arıkan, Orhan
Çetin, A. Enis
Erzin, E.
Date
1994Source Title
IEEE Signal Processing Letters
Print ISSN
1070-9908
Publisher
IEEE
Volume
1
Issue
11
Pages
163 - 165
Language
English
Type
ArticleItem Usage Stats
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Abstract
A large class of physical phenomenon observed in practice exhibit non-Gaussian behavior. In this letter, a-stable distributions, which have heavier tails than Gaussian distribution, 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 α-stable random processes are introduced.
Keywords
Adaptive filteringAlgorithms
Digital filters
Electric network synthesis
Error compensation
Optimization
Probability
Recursive functions
Spurious signal noise
Vectors
Non Gaussian stable processes
Probability density function
Signal processing