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dc.creatorHerrin, Scott Wen_US
dc.date.accessioned2012-06-07T22:55:58Z
dc.date.available2012-06-07T22:55:58Z
dc.date.created1999en_US
dc.date.issued1999
dc.identifier.urihttp://hdl.handle.net/1969.1/ETD-TAMU-1999-THESIS-H479en_US
dc.descriptionDue to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item.en_US
dc.descriptionIncludes bibliographical references (leaves 79-81).en_US
dc.descriptionIssued also on microfiche from Lange Micrographics.en_US
dc.description.abstractThe demand for a low power implementation of a data compression technique is driven by the need for small, light-weight portable electronic devices that need to operate on battery power for extended periods of time at reasonable frequencies. The circuit idea presented sets forth a method to assist a device in meeting these demands through the use of an adaptive binary encoder that operates at desirable frequencies and takes up a minimal amount of space either as a stand alone component or when implemented as a small part of a larger system on a chip. The circuit presented is capable of compressing a continuous parallel stream of symbols into a serial stream of codewords that are compressed based on the recent history of the symbols that have passed through the encoder. The encoder was designed with a focus on implementation in silicon in a low power environment.en_US
dc.format.mediumelectronicen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoen_USen_US
dc.publisherTexas A&M Universityen_US
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en_US
dc.subjectelectrical engineering.en_US
dc.subjectMajor electrical engineering.en_US
dc.titleImplementation of a low power adaptive binary encoderen_US
dc.typeThesisen_US
thesis.degree.disciplineelectrical engineeringen_US
thesis.degree.nameM.S.en_US
thesis.degree.levelMastersen_US
dc.type.genrethesis
dc.type.materialtexten_US
dc.format.digitalOriginreformatted digitalen_US


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