Construction of ternary convolutional codes

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dc.contributor.authorAnsari, Muhammad Khizar
dc.contributor.supervisorGulliver, T. Aaron
dc.date.accessioned2019-08-14T17:56:24Z
dc.date.available2019-08-14T17:56:24Z
dc.date.copyright2019en_US
dc.date.issued2019-08-14
dc.degree.departmentDepartment of Electrical and Computer Engineering
dc.degree.levelMaster of Applied Science M.A.Sc.en_US
dc.description.abstractError control coding is employed in modern communication systems to reliably transfer data through noisy channels. Convolutional codes are widely used for this purpose because they are easy to encode and decode and so have been employed in numerous communication systems. The focus of this thesis is a search for new and better ternary convolutional codes with large free distance so more errors can be detected and corrected. An algorithm is developed to obtain ternary convolutional codes (TCCs) with the best possible free distance. Tables are given of binary and ternary convolutional codes with the best free distance for rate 1/2 with encoder memory up to 14, rate 1/3 with encoder memory up to 9 and rate 1/4 with encoder memory up to 8.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/11033
dc.languageEnglisheng
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjecterror contol codingen_US
dc.subjectternary convolutional codesen_US
dc.subjectfree distanceen_US
dc.titleConstruction of ternary convolutional codesen_US
dc.typeThesisen_US

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