Multiple window time-varying spectral analysis

Author

Brad Thomas Ashley

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

Algorithms
Explosives -- Detection
Frequency spectra -- Mathematical models
Radio frequency identification systems
Time-series analysis -- Mathematical models

Thesis Number

T 9038

Print OCLC #

85775445

Link to Catalog Record

Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.

Recommended Citation

Ashley, Brad Thomas, "Multiple window time-varying spectral analysis" (2006). Masters Theses. 5931.
https://scholarsmine.mst.edu/masters_theses/5931