Noise reduction in time series data from dynamical systems.

Author

Richard Lyman Warr

Date of Award

4-1-2005

Document Type

Thesis

Degree Name

Master of Arts (MA)

Department

Mathematics

First Advisor

Dr. Jack Heidel

Abstract

Introduction: The objective of this thesis is to determine if the amount of noise in the observed time series data has affected the outcome of the chaotic descriptors. To thoroughly analyzed this problem I will first introduce how the data was obtained, next how to find the chaotic descriptors, and then discuss and apply noise reduction techniques.

Comments

A Thesis Presented to the Department of Mathematics and the Faculty of the Graduate College University of Nebraska In Partial Fulfillment of the Requirements for the Degree Master of Arts University of Nebraska at Omaha. Copyright 2005 Richard Lyman Warr

Recommended Citation

Warr, Richard Lyman, "Noise reduction in time series data from dynamical systems." (2005). Student Work. 3520.
https://digitalcommons.unomaha.edu/studentwork/3520