Column Rank Distances of Rank Metric Convolutional Codes
Main Author: | |
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Publication Date: | 2017 |
Other Authors: | , , |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10773/18423 |
Summary: | 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]. |
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Column Rank Distances of Rank Metric Convolutional CodesIn 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].Springer International Publishing2017-10-02T13:59:59Z2017-01-01T00:00:00Z2017book partinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10773/18423eng978-3-319-66277-010.1007/978-3-319-66278-7_21Napp, DiegoPinto, RaquelRosenthal, JoachimSantana, Filipainfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-06T04:02:47Zoai:ria.ua.pt:10773/18423Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T13:55:24.326544Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Column Rank Distances of Rank Metric Convolutional Codes |
title |
Column Rank Distances of Rank Metric Convolutional Codes |
spellingShingle |
Column Rank Distances of Rank Metric Convolutional Codes Napp, Diego |
title_short |
Column Rank Distances of Rank Metric Convolutional Codes |
title_full |
Column Rank Distances of Rank Metric Convolutional Codes |
title_fullStr |
Column Rank Distances of Rank Metric Convolutional Codes |
title_full_unstemmed |
Column Rank Distances of Rank Metric Convolutional Codes |
title_sort |
Column Rank Distances of Rank Metric Convolutional Codes |
author |
Napp, Diego |
author_facet |
Napp, Diego Pinto, Raquel Rosenthal, Joachim Santana, Filipa |
author_role |
author |
author2 |
Pinto, Raquel Rosenthal, Joachim Santana, Filipa |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Napp, Diego Pinto, Raquel Rosenthal, Joachim Santana, Filipa |
description |
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]. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-10-02T13:59:59Z 2017-01-01T00:00:00Z 2017 |
dc.type.driver.fl_str_mv |
book part |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/18423 |
url |
http://hdl.handle.net/10773/18423 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
978-3-319-66277-0 10.1007/978-3-319-66278-7_21 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Springer International Publishing |
publisher.none.fl_str_mv |
Springer International Publishing |
dc.source.none.fl_str_mv |
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
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FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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RCAAP |
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RCAAP |
reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
repository.mail.fl_str_mv |
info@rcaap.pt |
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