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dc.contributor.advisor Baraniuk, Richard G.
dc.creatorMoravec, Matthew L.
dc.date.accessioned 2018-12-03T18:31:29Z
dc.date.available 2018-12-03T18:31:29Z
dc.date.issued 2008
dc.identifier.urihttps://hdl.handle.net/1911/103570
dc.description.abstract In the phase retrieval problem, a signal must be recovered from the magnitude of its Fourier transform. The signal's compressibility can be used as prior knowledge to aid in its recovery. This knowledge also allows for recovery from fewer Fourier modulus measurements than the signal's bandwidth alone would dictate. We introduce a compressibility constraint for phase retrieval, define the number of measurements necessary for phase retrieval of sparse signals, and apply these concepts to terahertz imaging.
dc.format.extent 51 pp
dc.language.iso eng
dc.subjectElectrical engineering
Applied sciences
dc.title Compressive phase retrieval
dc.identifier.digital 304508969
dc.type.genre Thesis
dc.type.material Text
thesis.degree.department Electrical Engineering
thesis.degree.discipline Engineering
thesis.degree.grantor Rice University
thesis.degree.level Masters
thesis.degree.name Master of Science
dc.identifier.callno THESIS E.E. 2008 MORAVEC
dc.identifier.citation Moravec, Matthew L.. "Compressive phase retrieval." (2008) Master’s Thesis, Rice University. https://hdl.handle.net/1911/103570.


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