Signal reconstruction from discrete-time Wigner distribution

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dc.contributor.authorCheng, Siulingen
dc.contributor.committeechairYu, Kai Boren
dc.contributor.committeememberdeWolf, David A.en
dc.contributor.committeememberHa, Tri Thucen
dc.contributor.departmentElectrical Engineeringen
dc.date.accessioned2014-03-14T21:31:32Zen
dc.date.adate2013-03-12en
dc.date.available2014-03-14T21:31:32Zen
dc.date.issued1985-03-18en
dc.date.rdate2013-03-12en
dc.date.sdate2013-03-12en
dc.description.abstractWigner distribution is considered to be one of the most powerful tools for time-frequency analysis of rumvstationary signals. Wigner distribution is a bilinear signal transformation which provides two dimensional time-frequency characterization of one dimensional signals. Although much work has been done recently in signal analysis and applications using Wigner distribution, not many synthesis methods for Wigner distribution have been reported in the literature. This thesis is concerned with signal synthesis from discrete-time Wigner distribution and from discrete-time pseudo-Wigner distribution and their applications in noise filtering and signal separation. Various algorithms are developed to reconstruct signals from the modified or specified Wigner distribution and pseudo-Wigner distribution which generally do not have a valid Wigner distributions or valid pseudo-Wigner distribution structures. These algorithms are successfully applied to the noise filtering and signal separation problems.en
dc.description.degreeMaster of Scienceen
dc.format.extentviii, 109 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.identifier.otheretd-03122013-040100en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-03122013-040100/en
dc.identifier.urihttp://hdl.handle.net/10919/41550en
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V855_1985.C436.pdfen
dc.relation.isformatofOCLC# 12680521en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1985.C436en
dc.subject.lcshSignal processing -- Digital techniquesen
dc.subject.lcshWigner distributionen
dc.titleSignal reconstruction from discrete-time Wigner distributionen
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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