Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/6620
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dc.contributor.authorGoyal, Megha-
dc.contributor.authorGhrera, S.P [Guided by]-
dc.date.accessioned2022-09-24T05:45:03Z-
dc.date.available2022-09-24T05:45:03Z-
dc.date.issued2017-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/6620-
dc.description.abstractData Compression is a strategy for encoding decides that permits considerable diminishment in the aggregate number of bits to store or transmit a document. Transmission of large quantity of data cost more money. Hence choosing the best data compression algorithm is really important. In addition to different compression technologies and methodologies, selection of a good data compression tool is most important. There is a complete range of different data compression techniques available both online and offline working such that it becomes really difficult to choose which technique serves the best. In this report I represent five algorithms (Arithmetic Coding, LZW, Run-Length Encoding, Deflate and Prediction by Partial Matching) to compress and decompress the text data.en_US
dc.language.isoenen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectLZWen_US
dc.subjectCompression timeen_US
dc.subjectFuture scopeen_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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