Electronic Theses and Dissertations

Identifier

185

Date

2010

Date of Award

12-1-2010

Document Type

Thesis

Degree Name

Master of Science

Major

Electrical and Computer Engr

Committee Chair

Eddie L. Jabobs

Committee Member

Srikant K. Chari

Committee Member

Aaron L. Robinson

Abstract

This paper presents techniques for signal conditioning and feature estimation to be used for profiling sensors which perform broad scale classifications. Methods for improving existing feature estimation techniques for linear array profiling systems are provided. A 360 profiling system and the accompanying algorithms used for signal conditioning and feature estimation are presented. The algorithms are validated by demonstrating classification results for the broad scale human, animal, and vehicle three class problem for the linear array, and the human and animal two class problem for the 360 profiling sensor.

Comments

Data is provided by the student.

Library Comment

dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.

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