Multiple window time-varying spectral analysis
Multiple window time varying spectral analysis
Keywords and Phrases
Hermite windows; Wigner-Ville distribution
"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, leaf iii.
Grant, Steven L.
Zheng, Y. Rosa
Kosbar, Kurt Louis
Electrical and Computer Engineering
M.S. in Electrical Engineering
Wilkens Missouri Endowment
University of Missouri--Rolla
ix, 98 leaves
© 2006 Brad Thomas Ashley, All rights reserved.
Thesis - Citation
Library of Congress Subject Headings
Explosives -- Detection
Frequency spectra -- Mathematical models
Radio frequency identification systems
Time-series analysis -- Mathematical models
Print OCLC #
Link to Catalog Record
Ashley, Brad Thomas, "Multiple window time-varying spectral analysis" (2006). Masters Theses. 5931.
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