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dc.contributor.advisorJae S. Lim.en_US
dc.contributor.authorNissenbaum, Lucasen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2016-03-03T21:10:26Z
dc.date.available2016-03-03T21:10:26Z
dc.date.copyright2015en_US
dc.date.issued2015en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/101583
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 75-77).en_US
dc.description.abstractIn video compression, a single transform such as the DCT is typically used. Multiple-transforms such as directional 1-D DCTs have been proposed to exploit the different statistical characteristics of motion compensation residuals. Many issues are associated with this scenario. In this thesis, we will focus on the issue of selecting the appropriate number of coefficients and transforms to be allocated for each block of the signal to optimize the energy compaction. We propose two new methods to select optimal transforms for different blocks in a signal. The first method is based on thresholding, while the second method is based on dynamic programming and related to the multiple-choice knapsack problem. These algorithms are then compared to two other previous algorithms. We analyze the energy compaction performance of these algorithms in terms of different block-sizes and different input characteristics. We then extend all of these algorithms to quantizated coefficients being transmitted, as well as to take a bit-rate constraint into account.en_US
dc.description.statementofresponsibilityby Lucas Nissenbaum.en_US
dc.format.extent77 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleGlobally optimal algorithms for multiple-transform signal compressionen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc940973860en_US


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