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dc.contributorDepartment of Electronic and Information Engineeringen_US
dc.creatorChan, Chi-ho-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/6447-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleDecoding of LDPC convolutional codesen_US
dcterms.abstractRecently, there have been different applications, namely 10GBase-T Ethernet, video broadcasting and satellite communication, utilizing low-density parity-check (LDPC) codes as the forward-error-correction codes. The main reason is that the error performance of LDPC codes can be very close to the Shannon limit. LDPC codes can be further categorized into LDPC block codes (LDPC-BCs) and LDPC convolutional codes (LDPC-CCs). It has also been discovered that LDPC-CCs usually outperform LDPC-BCs of the same length. In this thesis, the Sum Product Algorithm (SPA) and the Min-Sum Algorithm (MSA) are used for decoding LDPC-CCs. The two algorithms have been implemented and run on three different computing environments. The first environment is a single-threading Central Processing Unit (CPU); the second one is the multi-threading CPU based on OpenMP (Open Multi-Processing); and the third one is the multi-threading Graphics Processing Unit (GPU). The error performance of the LDPC-CCs and the simulation time taken under the three specific computing environments and the two decoding algorithms are evaluated and compared. It is found that the SPA gives lower error rates compared with the MSA and that the different computing environments produce very similar error results. It is also concluded that using the GPU computing platform can reduce the simulation time substantially.en_US
dcterms.extentxvi, 60 leaves : ill. (some col.) ; 30 cm.en_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2012en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Sc.en_US
dcterms.LCSHCoding theory -- Mathematics.en_US
dcterms.LCSHError-correcting codes (Information theory)en_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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