Automated classification of objects through ultrasound signature analysis

Author

David Lawrence Senn

Date of Award

3-1987

Degree Type

Thesis

Major

Electrical Engineering

Major Professor

Robert E. Bodenheimer

Committee Members

Donald W. Bouldin, Dragana Brzakovic

Abstract

The objective of this research is to develop a method for automated detection of a class of objects with similar physical features through the analysis of ultrasound signatures produced by those objects when acoustically excited.

As a step in the development of such a system, a machine has been designed and built, which is capable of detecting and identifying three specific objects.

The design of the recognition subsystem is presented. This subsystem uses the discrete Fourier transform to analyze and pattern recognition techniques to classify the acoustic signals. Development of the design is given from a pattern recognition point of view.

Recommended Citation

Senn, David Lawrence, "Automated classification of objects through ultrasound signature analysis. " Master's Thesis, University of Tennessee, 1987.
https://trace.tennessee.edu/utk_gradthes/13572