The continuous wavelet transform: A discrete approximation

dc.contributor.advisorBurrus, C. Sidney
dc.creatorLewis, James M.
dc.date.accessioned2009-06-04T08:18:18Z
dc.date.available2009-06-04T08:18:18Z
dc.date.issued1998
dc.description.abstractIn this thesis, we develop an approximation to the continuous wavelet transform (CWT) which is unique in that it does not require an exact scaling relationship between the levels of the transform, but asymptotically approaches an irrational scaling ratio of 2$\sp{1/n{\sb0}}$ where $n\sb0$ is related to the number of vanishing moments of the original scaling filter. The autocorrelation sequences of the scaling and wavelet filters associated with the Daubechies family of orthonormal compactly supported wavelets are shown to converge to smooth symmetric wavelets which approximate the Deslauriers and Dubuc limiting functions. We show why this transform is superior to a conventional dyadic wavelet transform for the edge detection application, and analyze its performance in denoising applications.
dc.format.extent91 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS E.E. 1998 LEWIS
dc.identifier.citationLewis, James M.. "The continuous wavelet transform: A discrete approximation." (1998) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/17192">https://hdl.handle.net/1911/17192</a>.
dc.identifier.urihttps://hdl.handle.net/1911/17192
dc.language.isoeng
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.
dc.subjectElectronics
dc.subjectElectrical engineering
dc.titleThe continuous wavelet transform: A discrete approximation
dc.typeThesis
dc.type.materialText
thesis.degree.departmentElectrical Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
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