Theses/Dissertations
Author Ashley, Brad Thomas, 1982-

Title Multiple window time-varying spectral analysis / by Brad Thomas Ashley.

Published ©2006.
LOCATION CALL # STATUS
 MST DEPOSITORY  THESIS T 9021/9045  MICROFILM    NOT CHECKED OUT
 MST Thesis  THESIS T 9038    NOT CHECKED OUT
Description ix, 98 leaves : illustrations ; 28 cm.
Summary "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.
Notes Vita.
Includes bibliographical references (leaves 95-97).
M.S. University of Missouri--Rolla 2006.
Subjects Explosives -- Detection.
Radio frequency identification systems.
Frequency spectra -- Mathematical models.
Time-series analysis -- Mathematical models.
Algorithms.
Other Titles Multiple window time varying spectral analysis.
MST thesis. Electrical Engineering (M.S., 2006).
Additional Keywords Wigner-Ville distribution.
Hermite windows.
OCLC/WorldCat Number 85775445
Author Ashley, Brad Thomas, 1982-
Title Multiple window time-varying spectral analysis / by Brad Thomas Ashley.
Subjects Explosives -- Detection.
Radio frequency identification systems.
Frequency spectra -- Mathematical models.
Time-series analysis -- Mathematical models.
Algorithms.
Additional Keywords Wigner-Ville distribution.
Hermite windows.
Other Titles Multiple window time varying spectral analysis.
MST thesis. Electrical Engineering (M.S., 2006).