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dc.contributor.advisor Baraniuk, Richard G.
dc.creatorBayram, Metin
dc.date.accessioned 2009-06-04T00:01:50Z
dc.date.available 2009-06-04T00:01:50Z
dc.date.issued 1996
dc.identifier.urihttps://hdl.handle.net/1911/14057
dc.description.abstract The bias-variance trade-off is an important issue is spectrum estimation. In 1982, Thomson introduced a powerful multiple window method for stationary signals that deals with the bias-variance trade-off in an optimal fashion. In this thesis, we extend Thomson's method to the time-frequency and time-scale planes, and propose a new method to estimate the time-varying spectrum of non-stationary random processes. Unlike previous extensions of Thomson's method, we identify and utilize optimally concentrated window and wavelet functions, and develop a statistical test for detecting chirping line components. The optimal windows are the Hermite functions for time-frequency analysis, and the Morse wavelets for time-scale analysis.
dc.format.extent 50 p.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subjectElectronics
Electrical engineering
dc.title Multiple window time-frequency analysis
dc.type.genre Thesis
dc.type.material Text
thesis.degree.department Electrical and Computer Engineering
thesis.degree.discipline Engineering
thesis.degree.grantor Rice University
thesis.degree.level Masters
thesis.degree.name Master of Science
dc.identifier.citation Bayram, Metin. "Multiple window time-frequency analysis." (1996) Master’s Thesis, Rice University. https://hdl.handle.net/1911/14057.


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