Bobis, James P.
M.S. (Master of Science)
Department of Electrical Engineering
Nuclear magnetic resonance spectroscopy||Adaptive filters||Signal processing--Digital techniques
Nuclear magnetic resonance (NMR) spectroscopy is used to determine molecular structure and obtain physicochemical information about molecular dynamics. This technique has been used mainly for laboratory measurements and is often a time-consuming process. Recently, advances in solid-state technology, together with improvements in real-time digital signal processing schemes, have facilitated on-line implementation of NMR technology. NMR spectroscopy is analogous to techniques that measure the transfer function of an electronic device because an NMR signal can be related to the transfer function of a system. In this thesis, a portable NMR controller that is based on the TMS320C30 digital signal processor (C30 DSP) was developed and implemented to measure transfer functions. The controller transmits a radio frequency signal to a sample in a large homogeneous magnetic field, and the resonance absorption of the radio frequency is detected in real time by the C30 DSP. Given the time-domain input signal and prior knowledge of chemical signal patterns, the known signal is separated from a composite signal and enhanced by using an adaptive line enhancer filter scheme. Determination of the chemical and physical properties of composite chemicals would be useful for verifying a material?s processibility and for eventually upgrading industrial processing procedures. The prototype NMR controller system in this work was implemented to detect the chemical structure of a liquid chemical at intervals of 500 ms. The results were verified by comparison with a series of off-line laboratory experiments with a commercial unit.
Razazian, Kaveh, "On-line nuclear magnetic resonance spectroscopy with adaptive filter using TMS320C30 processor" (1996). Graduate Research Theses & Dissertations. 4195.
viii, 96 pages
Northern Illinois University
Rights Statement 2
NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.