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dc.rights.licenseRestricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Research Libraries.
dc.contributorPearlman, William A.
dc.contributorAbouzeid, Alhussein A.
dc.contributorKrishnamoorthy, M. S.
dc.contributorWoods, John W. (John William), 1943-
dc.contributor.authorLiu, Ying
dc.date.accessioned2021-11-03T07:50:14Z
dc.date.available2021-11-03T07:50:14Z
dc.date.created2008-08-14T09:34:21Z
dc.date.issued2008-08
dc.identifier.urihttps://hdl.handle.net/20.500.13015/649
dc.descriptionAugust 2008
dc.descriptionSchool of Engineering
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectElectrical engineering
dc.titleLow-complexity scalable multidimensional image coding with random accessibility
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid12089
dc.digitool.pid12090
dc.digitool.pid12092
dc.digitool.pid12091
dc.digitool.pid12093
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degreePhD
dc.relation.departmentDept. of Electrical, Computer, and Systems Engineering


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