Date of Award
Master of Science
Electrical and Computer Engr
Eddie L. Jabobs
Srikant K. Chari
Aaron L. Robinson
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.
dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.
Brown, Jeremy Benjamin, "Signal Conditioning and Feature Estimation for Profiling Sensor Systems" (2010). Electronic Theses and Dissertations. 137.