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Electrical and Computer Engineering ETDs
Publication Date
12-19-1974
Abstract
Four methods of data reconstruction were applied to actual seismometer data with inherent low frequency linear distortion, for relative evaluation and comparison. An electronic system inverse circuit, an impulse invariant Z transform inverse system model, time domain deconvolution, and fast Fourier transforms were the methods used. It was found that from the standpoints of ease of application, computer core and CPU requirements, and reconstruction quality, the electronic inverse circuit and time domain deconvolution would probably be the reconstruction options favored by most seismometer users. Of these two methods, time domain deconvolution exhibited slightly better reconstruction quality than did the inverse circuit. The impulse invariant Z transform reconstruction method performed fairly well but was not capable of handling output reconstructions of extremely slow motion inputs. The fast Fourier transform reconstruction required tremendous amounts of computer core and CPU time, and required total reconstruction over the entire test transient output interval. The fast Fourier transform reconstruction also exhibited large D.C. shifts. The reason for this was determined and explained. In addition to the evaluation of the four reconstruction methods, a new method called general time domain deconvolution or arbitrary input invariant reconstruction was found using Z transform theory. This method received limited testing but appears to have a good potential for data reconstruction.
Document Type
Thesis
Language
English
Degree Name
Electrical Engineering
Level of Degree
Masters
Department Name
Electrical and Computer Engineering
First Committee Member (Chair)
Joseph Thomas Cordaro Jr
Second Committee Member
Larry Wayne Bickle
Third Committee Member
Arnold Herman Koschmann
Recommended Citation
Pickett, Stephen Frank. "An Evaluation Of Four Data Reconstruction Techniques Applied To Seismometer Data.." (1974). https://digitalrepository.unm.edu/ece_etds/635