On the weight distribution of convolutional codes

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dc.creatorGluesing-Luerssen, Heide
dc.date2005-01-10
dc.date.accessioned2026-07-07T08:15:17Z
dc.date.available2026-07-07T08:15:17Z
dc.descriptionDetailed information about the weight distribution of a convolutional code is given by the adjacency matrix of the state diagram associated with a controller canonical form of the code. We will show that this matrix is an invariant of the code. Moreover, it will be proven that codes with the same adjacency matrix have the same dimension and the same Forney indices and finally that for one-dimensional binary convolutional codes the adjacency matrix determines the code uniquely up to monomial equivalence.
dc.identifierhttps://arxiv.org/abs/cs/0501016
dc.identifierhttp://arxiv.org/abs/cs/0501016
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/133402
dc.subjectInformation Theory
dc.subjectOptimization and Control
dc.titleOn the weight distribution of convolutional codes
dc.typetext

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