Masters Theses
Multiple window time-varying spectral analysis
Keywords and Phrases
Hermite windows; Wigner-Ville distribution
Abstract
"In the improvised explosive device detection research, the goal was to create time-frequency representations, or TFRs, of signals generated by various radio frequency receivers in their passive listening state and to then identify characteristics unique to specific types of receivers. These characteristics, or features, could then be utilized to detect and classify the receivers. In order to accomplish this goal, it was necessary to implement an algorithm to produce accurate and clear TFRs of the time-varying signals. Building upon a parametric estimation technique, which consisted of an optimal weighted averaging of multiple TFR spectrograms, preprocessing and filtering routines were inserted into the existing algorithm in order to increase the robustness and stability of the estimation"--Abstract, page iii.
Advisor(s)
Grant, Steven L.
Committee Member(s)
Zheng, Y. Rosa
Kosbar, Kurt Louis
Department(s)
Electrical and Computer Engineering
Degree Name
M.S. in Electrical Engineering
Sponsor(s)
Wilkens Missouri Endowment
Publisher
University of Missouri--Rolla
Publication Date
Summer 2006
Pagination
ix, 98 pages
Rights
© 2006 Brad Thomas Ashley, All rights reserved.
Document Type
Thesis - Citation
File Type
text
Language
English
Subject Headings
AlgorithmsExplosives -- DetectionFrequency spectra -- Mathematical modelsRadio frequency identification systemsTime-series analysis -- Mathematical models
Thesis Number
T 9038
Print OCLC #
85775445
Recommended Citation
Ashley, Brad Thomas, "Multiple window time-varying spectral analysis" (2006). Masters Theses. 5931.
https://scholarsmine.mst.edu/masters_theses/5931
Share My Thesis If you are the author of this work and would like to grant permission to make it openly accessible to all, please click the button above.