Date of Award

Fall 1966

Document Type

Thesis - Restricted

Degree Name

Master of Science (MS)

Department

Electrical and Computer Engineering

First Advisor

Blank, Gary L.

Abstract

This thesis is concerned with identification using digital crosscorrelation and discrete interval binary noise. Since very little work had been performed with digital crosscorrelation, investigation in this area was undertaken. Experimental work has revealed the ease with which second order and oscillatory systems could be identified using this technique. However,identification of first order systems was found to be quite restrictive. The experimental data obtained through digital analysis has been plotted along with the ideal system values. By doing this, the advantages and disadvantages of the various methods tried in the identification process could easily be seen.

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