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Title: Column Rank Distances of Rank Metric Convolutional Codes
Author: Napp, Diego
Pinto, Raquel
Rosenthal, Joachim
Santana, Filipa
Issue Date: 2017
Publisher: Springer International Publishing
Abstract: In this paper, we deal with the so-called multi-shot network coding, meaning that the network is used several times (shots) to propagate the information. The framework we present is slightly more general than the one which can be found in the literature. We study and introduce the notion of column rank distance of rank metric convolutional codes for any given rate and finite field. Within this new framework we generalize previous results on column distances of Hamming and rank metric convolutional codes [3, 8]. This contribution can be considered as a continuation follow-up of the work presented in [10].
DOI: 10.1007/978-3-319-66278-7_21
ISBN: 978-3-319-66277-0
Appears in Collections:CIDMA - Capítulo de livro
SCG - Capítulo de livro

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