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dc.contributor.authorLai, Ching-Yien_US
dc.contributor.authorHsieh, Min-Hsiuen_US
dc.contributor.authorLu, Hsiao-Fengen_US
dc.date.accessioned2017-04-21T06:55:23Z-
dc.date.available2017-04-21T06:55:23Z-
dc.date.issued2016-08en_US
dc.identifier.issn0090-6778en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TCOMM.2016.2585641en_US
dc.identifier.urihttp://hdl.handle.net/11536/134283-
dc.description.abstractThe weight generating functions associated with convolutional codes (CCs) are based on state space realizations or the weight adjacency matrices (WAMs). The MacWilliams identity for CCs on the WAMs was first established by Gluesing-Luerssen and Schneider in the case of minimal encoders, and generalized by Forney. We consider this problem in the viewpoint of constraint codes and obtain a simple and direct proof of this MacWilliams identity in the case of minimal encoders. For our purpose, we choose a different representation for the exact weight generating function (EWGF) of a block code, by defining it as a linear combination of orthonormal vectors in Dirac bra-ket notation. This representation provides great flexibility so that general split weight generating functions and their MacWilliams identities can be easily obtained from the MacWilliams identity for EWGFs. As a result, we also obtain the MacWilliams identity for the input-parity WAMs of a systematic convolutional code and its dual. Finally, paralleling the development of the classical case, we establish the MacWilliams identity for quantum CCs.en_US
dc.language.isoen_USen_US
dc.subjectConvolutional codesen_US
dc.subjectFourier transformsen_US
dc.subjectHamming weighten_US
dc.subjectMacWilliams identityen_US
dc.titleOn the MacWilliams Identity for Classical and Quantum Convolutional Codesen_US
dc.identifier.doi10.1109/TCOMM.2016.2585641en_US
dc.identifier.journalIEEE TRANSACTIONS ON COMMUNICATIONSen_US
dc.citation.volume64en_US
dc.citation.issue8en_US
dc.citation.spage3148en_US
dc.citation.epage3159en_US
dc.contributor.department電機學院zh_TW
dc.contributor.departmentCollege of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000384312200002en_US
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