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Symbol-Based Joint Decoding of Convolutionally Encoded Variable-Length Codes

dc.citation.epage148en_US
dc.citation.spage145en_US
dc.citation.woscount0en_US
dc.contributor.authorWu, Hung-Tsaien_US
dc.contributor.authorLin, Chih-Hsienen_US
dc.contributor.authorChang, Wen-Wheien_US
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.date.accessioned2019-04-02T06:04:22Z
dc.date.available2019-04-02T06:04:22Z
dc.date.issued2012-01-01en_US
dc.description.abstractIn this paper, we present a symbol-level joint source-channel decoding (JSCD) algorithm for transmission of convolutionally encoded variable-length codes (VLCs). The proposed algorithm is based on a two-dimensional state representation which leads to a three-dimensional code trellis. JSCD on this trellis is realized by employing a modified BCJR algorithm which allows to fully exploit the symbol-level source a priori information. Experimental results indicate that the proposed JSCD scheme achieves high robustness against channel noises.en_US
dc.identifier.journal2012 12TH INTERNATIONAL CONFERENCE ON ITS TELECOMMUNICATIONS (ITST-2012)en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/150582
dc.identifier.wosnumberWOS:000317002000028en_US
dc.language.isoen_USen_US
dc.subjectjoint source-channel decodingen_US
dc.subjectvariable-length codesen_US
dc.subjectthree-dimensional code trellisen_US
dc.titleSymbol-Based Joint Decoding of Convolutionally Encoded Variable-Length Codesen_US
dc.typeProceedings Paperen_US

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