Masters Theses

Date of Award

5-1992

Degree Type

Thesis

Degree Name

Master of Science

Major

Electrical Engineering

Major Professor

Paul Benjamin Crilly

Committee Members

Robert E. Bodenheimer, Dan Koch, C. D. Martin

Abstract

A new method of iterative deconvolution that will be referred to as the causal iterative deconvolution (CID) method was developed and implemented on a personal computer (PC) with an 80386 microprocessor and on a Motorola DSP56000 digital signal processing (DSP) development system. The results show that the Motorola DSP system executed the CID algorithm significantly faster than the PC-based system. Furthermore, the CID technique appears to enhance the baseline and peak areas of the results at a faster rate than Jansson's method of iterative deconvolution. The PC implementation was written in the C programming language, whereas the DSP56000 was implemented in Assembly. Convolved Gaussian-shaped functions with additive random noise were used to simulate test results from chromatographic or spectroscopic instrumentation. Analog-to-digital and digital-to-analog (A/D and D/A) converters were designed for the DSP56000 system to verify the validity of the results for analog input and output functions.

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