Date of Award
Master of Science
Benjamin J. Blalock
Amir Sadovnik, Nicole McFarlane
Using commercial analog to digital converters (ADCs), especially outside their designed operating temperature range, is inherently risky and device performance inherently uncertain. Current methods of verification rely on expensive, time-consuming characterization procedures. A behavioral model capturing expected device performance, especially one which can be applied without testing, could enable system engineers to quickly downselect components for use within a system. To this end, a behavioral ADC model is described, tested and validated against measured performance.
Norton, William II, "Temperature Sensitive Behavioral Modeling of Analog to Digital Converters. " Master's Thesis, University of Tennessee, 2019.