Robust adaptive filtering algorithms for impulsive noise environments

Files

B034653.pdf (2.1 MB)

Date

1996

Authors

Editor(s)

Advisor

Çetin, A. Enis

Supervisor

Co-Advisor

Co-Supervisor

Instructor

BUIR Usage Stats
2
views
16
downloads

  • Share

Series

Abstract

In this thesis, robust adaptive filtering algorithms are introduced for impulsive noise environments which can be modeled as o;-stable distributions and/or c-contarninated Gaussian distributions. The algorithms are devcrloped using the Fractional Lower Order Statistics concept. Robust perf()rrnance is obtained.

Source Title

Publisher

Course

Other identifiers

Book Title

Keywords

Adaptive F'iltering, a-stable distributions, Fractional Lower Order Moments, e-contaminated Gaussian distributions

Degree Discipline

Electrical and Electronic Engineering

Degree Level

Master's

Degree Name

MS (Master of Science)

Citation

Permalink

http://hdl.handle.net/11693/17750

Published Version (Please cite this version)

Collections

Graduate School of Engineering and Science

Language

English

Type

Thesis