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Type: Artigo
Title: Generalized column distances for convolutional codes
Author: Cardell, Sara D.
Firer, Marcelo , Napp, Diego
Abstract: In this work, we adapt the notion of generalized Hamming weight of block codes to introduce the novel concept of generalized column distances for convolutional codes. This can be considered as an extension of the work done in [18] on the generalized Hamming weights for free distance of convolutional codes. We also introduce the concept of Almost-MDP and Near-MDP convolutional code. The problem of constructing convolutional codes with design generalized column distances remains an interesting open problem that requires further research.
Subject: Peso generalizado de Hamming
Teoria da codificação
Convoluções (Matemática)
Generalized Hamming weight
Coding theory
Convolutions (Mathematics)
Country: Estados Unidos
Editor: Institute of Electrical and Electronics Engineers
Rights: fechado
Identifier DOI: 10.1109/ISIT.2017.8006482
Date Issue: 2017
Appears in Collections:IMECC - Artigos e Outros Documentos

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