Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/18423
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]. |
URI: | http://hdl.handle.net/10773/18423 |
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 |
Files in This Item:
File | Description | Size | Format | |
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NappPintoRosenthalSantana_revised.pdf | 320.69 kB | Adobe PDF | View/Open |
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