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dc.contributor.advisorBurtscher, Martin
dc.contributor.authorMukka, Hari Santhosh Manikanta Kumar
dc.date.accessioned2014-12-19T17:48:46Z
dc.date.available2014-12-19T17:48:46Z
dc.date.created2014-12
dc.date.issued2014-11-12
dc.date.submittedDecember 2014
dc.identifier.urihttps://digital.library.txstate.edu/handle/10877/5379
dc.description.abstractWith the exponential increase in the amount of data humans are generating, there is a progressive need for developing effective high-speed data compression techniques. However, developing an algorithm that just compresses data well is not sufficient. A good compression technique should also minimize the compression and decompression time. This project focuses on automatically synthesizing compression and decompression algorithms for a given data type. In particular, it employs search techniques to mix and match different transformation, prediction, and encoding components to determine the most efficient configurations.
dc.formatText
dc.format.extent55 pages
dc.format.medium1 file (.pdf)
dc.language.isoen_US
dc.subjectGenetic
dc.subjectExhaustive
dc.subject.lcshComputer science
dc.subject.lcshAlgorithms
dc.subject.lcshProgramming (Mathematics)
dc.titleCustomized data compression: Automatically Synthesizing Effective Data Compression and Decompression Algorithms
txstate.documenttypeThesis
dc.contributor.committeeMemberNgu, Anne
dc.contributor.committeeMemberTamir, Dan
thesis.degree.departmentComputer Scienceen_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorTexas State Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
txstate.departmentComputer Science


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