Theory and applications of the shift-invariant, time-varying and undecimated wavelet transforms

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dc.contributor.advisorBurrus, C. Sidneyen_US
dc.creatorGuo, Haitaoen_US
dc.date.accessioned2009-06-04T00:19:22Zen_US
dc.date.available2009-06-04T00:19:22Zen_US
dc.date.issued1995en_US
dc.description.abstractIn this thesis, we generalize the classical discrete wavelet transform, and construct wavelet transforms that are shift-invariant, time-varying, undecimated, and signal dependent. The result is a set of powerful and efficient algorithms suitable for a wide variety of signal processing tasks, e.g., data compression, signal analysis, noise reduction, statistical estimation, and detection. These algorithms are comparable and often superior to traditional methods. In this sense, we put wavelets in action.en_US
dc.format.extent122 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.callnoTHESIS E.E. 1995 GUOen_US
dc.identifier.citationGuo, Haitao. "Theory and applications of the shift-invariant, time-varying and undecimated wavelet transforms." (1995) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/13954">https://hdl.handle.net/1911/13954</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/13954en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectElectronicsen_US
dc.subjectElectrical engineeringen_US
dc.subjectMathematicsen_US
dc.subjectComputer scienceen_US
dc.titleTheory and applications of the shift-invariant, time-varying and undecimated wavelet transformsen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentElectrical Engineeringen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
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