Date of Award

Spring 1992

Document Type

Thesis - Restricted

Degree Name

Master of Science (MS)


Electrical and Computer Engineering

First Advisor

Richie, James

Second Advisor

Raidy, Thomas

Third Advisor

Feng, Xin


A general method is presented for automatically analyzing in-vivo NMR spectroscopic data. The method takes as input complex time domain data, then automatically and independently preprocesses the data for input to a neural network. The network can then be trained to recognize different signatures in a training set and extrapolate those signatures to data from outside the training set. Examples are presented to illustrate concepts and procedure.



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