Adaptive filtering for non-gaussian stable processes
Date
1994
Authors
Advisor
Instructor
Source Title
IEEE Signal Processing Letters
Print ISSN
1070-9908
Electronic ISSN
Publisher
IEEE
Volume
1
Issue
11
Pages
163 - 165
Language
English
Type
Article
Journal Title
Journal ISSN
Volume Title
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.
Course
Other identifiers
Book Title
Keywords
Adaptive filtering, Algorithms, Digital filters, Electric network synthesis, Error compensation, Optimization, Probability, Recursive functions, Spurious signal noise, Vectors, Non Gaussian stable processes, Probability density function, Signal processing