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dc.contributor.advisorHippenstiel, Ralph
dc.contributor.advisorFargues, Monique P.
dc.contributor.authorHamlett, Neil A.
dc.date.accessioned2012-11-29T16:20:41Z
dc.date.available2012-11-29T16:20:41Z
dc.date.issued1993-03
dc.identifier.urihttp://hdl.handle.net/10945/24129
dc.descriptionApproved for public release; distribution is unlimiteden_US
dc.description.abstractA comprehensive study of multiresolution signal processing techniques is conducted. Background material in functional analysis and Quadrature Mirror Filter (QMF) banks is presented. The development of Mallat's algorithm for multiresolution decomposition and reconstruction is outlined and demonstrated to be equivalent to QMF banks. The Laplacian pyramid and the a trous algorithm are described and demonstrated. General multiresolution structures are constructed from cascades of QMF and pseudo-QMF banks and are demonstrated for applications in signal decomposition and reconstruction and signal detection and identification.en_US
dc.description.urihttp://archive.org/details/comparisonofmult00haml
dc.format.extent222 p.en_US
dc.language.isoen_US
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.titleComparison of multiresolution techniques for digital signal processingen_US
dc.typeThesisen_US
dc.contributor.corporateNaval Postgraduate School
dc.contributor.schoolNaval Postgraduate School
dc.contributor.departmentElectrical Engineering
dc.subject.authorFunctional Analysisen_US
dc.subject.authorQuadrature Mirror Filter (QMF) banksen_US
dc.subject.authorMultiresolution Analysisen_US
dc.subject.authorWavelet Transformsen_US
dc.subject.authorSpectral Estimationen_US
dc.subject.authorDetection Theoryen_US
dc.subject.authorSignal Identificationen_US
dc.description.serviceLieutenant, United States Navyen_US
etd.thesisdegree.nameM.S. in Electrical Engineeringen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineElectrical Engineeringen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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