Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/6621
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dc.contributor.authorBansal, Sagar-
dc.contributor.authorSehgal, Vivek [Guided by]-
dc.date.accessioned2022-09-24T05:49:24Z-
dc.date.available2022-09-24T05:49:24Z-
dc.date.issued2017-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/6621-
dc.description.abstractData CompressionTisTa strategy for encoding decidesTthatTpermitsTconsiderable diminishmentTinTthe aggregate number of bitsTto store or transmitTa document. TransmissionTof large quantity of data costTmore money. Hence choosing the bestTdata compressionTalgorithm isTreally important. InTadditionTto differentTcompressionTtechnologiesTand methodologies, selectionTof a good data compressionTtool isTmostTimportant. There isTa complete range of differentTdata compressionTtechniquesTavailable both online and offline working such thatTitTbecomesTreally difficultTto choose which technique servesTthe best. InTthisTreportTI representTfive algorithmsT(Arithmetic Coding, LZW, Run-Length Encoding, Deflate and PredictionTby Partial Matching) to compressTand decompressTthe textTdata.en_US
dc.language.isoenen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectDeflateen_US
dc.subjectArithmetic codingen_US
dc.subjectLZWen_US
dc.titleImplementation of one or more data compression algorithms, analysis of the algorithms and presentation of the resultsen_US
dc.typeProject Reporten_US
Appears in Collections:B.Tech. Project Reports



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