Customized Data Compression: Automatically Synthesizing Effective Data Compression and Decompression Algorithms

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dc.contributor.advisorBurtscher, Martin
dc.contributor.authorMukka, Hari Santhosh Manikanta Kumar
dc.contributor.committeeMemberNgu, Anne
dc.contributor.committeeMemberTamir, Dan
dc.date.accessioned2014-12-19T17:48:46Z
dc.date.available2014-12-19T17:48:46Z
dc.date.issued2014-12
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.description.departmentComputer Science
dc.formatText
dc.format.extent55 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationMukka, H. S. M. K. (2014). Customized data compression: automatically synthesizing effective data compression and decompression algorithms (Unpublished thesis). Texas State University, San Marcos, Texas.
dc.identifier.urihttps://hdl.handle.net/10877/5379
dc.language.isoen
dc.subjectcomputer science
dc.subjectalgorithms
dc.subjectprogramming
dc.subjectgenetic
dc.subjectexhaustive
dc.titleCustomized Data Compression: Automatically Synthesizing Effective Data Compression and Decompression Algorithms
dc.typeThesis
thesis.degree.departmentComputer Science
thesis.degree.disciplineComputer Science
thesis.degree.grantorTexas State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

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