Adaptive filtering approaches for non-Gaussian stable processes

Date

1995-05

Editor(s)

Advisor

Supervisor

Co-Advisor

Co-Supervisor

Instructor

Source Title

1995 IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings

Print ISSN

0736-7791

Electronic ISSN

Publisher

IEEE

Volume

Issue

Pages

1400 - 1403

Language

English

Journal Title

Journal ISSN

Volume Title

Usage Stats
0
views
39
downloads

Series

Abstract

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.

Course

Other identifiers

Book Title

Degree Discipline

Degree Level

Degree Name

Citation

Published Version (Please cite this version)