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A Comparative study of min-sum based decoding algorithms for low density parity check codes

dc.contributor.advisorYu, Nam Yul
dc.contributor.authorShah, Dhaval
dc.date.accessioned2012-11-10T19:20:49Z
dc.date.available2012-11-10T19:20:49Z
dc.date.created2009-12
dc.date.issued2012-11-10
dc.identifier.urihttp://knowledgecommons.lakeheadu.ca/handle/2453/161
dc.description.abstractThe demand for large scale broadband networks is gaining immense popularity for convenient access of information. A common concern of transmitting data through a wireless medium is the effects of noise on the signal. Maintaining the reliability of the data becomes crucial. Employing Low Density Parity Check (LDPC) codes specified by the IEEE 802.16e (WiMAX) standard simplifies the encoding and decoding structure within a digital communication system, making it attractive for the premise of this study.en_US
dc.language.isoen_USen_US
dc.subjectCoding theoryen_US
dc.subjectError-correcting codes (Information theory)en_US
dc.titleA Comparative study of min-sum based decoding algorithms for low density parity check codesen_US
dc.typeThesisen_US
etd.degree.nameMaster of Scienceen_US
etd.degree.levelMasteren_US
etd.degree.disciplineEngineering : Electrical & Computeren_US
etd.degree.grantorLakehead Universityen_US


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