Date of Award

7-2008

Document Type

Thesis

Degree Name

Master of Science (MS)

Legacy Department

Electrical Engineering

Advisor

Hoover, Adam W

Committee Member

Muth , Eric R

Committee Member

Brooks , Richard R

Abstract

This work presents a novel approach to detect a change in the state of a signal. The hypothesis is that in a given state, the values of a signal vary in a sub-part of a Gaussian distribution. By modeling a signal using a sub-part of the Gaussian distribution, a quantitative value representing the state of the signal is obtained. This value is monitored with time to detect a change in the state of the signal. The proposed algorithm is implemented and tested on data obtained from a related research.

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