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2017 | OriginalPaper | Chapter

MDP Periodically Time-Varying Convolutional Codes

Authors : Ricardo Pereira, Paula Rocha, Diego Napp

Published in: CONTROLO 2016

Publisher: Springer International Publishing

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Abstract

In this paper we use some classical ideas from linear systems theory to analyse convolutional codes. In particular, we exploit input-state-output representations of periodic linear systems to study periodically time-varying convolutional codes. In this preliminary work we focus on the column distance of these codes and derive explicit necessary and sufficient conditions for an (n, 2, 1) periodically time-varying convolutional code to have Maximum Distance Profile (MDP).

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previous chapter Input-State-Output Representations of Concatenated 2D Convolutional Codes

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Title: MDP Periodically Time-Varying Convolutional Codes
Authors: Ricardo Pereira
Paula Rocha
Diego Napp
Publisher: Springer International Publishing
Book: CONTROLO 2016
Print ISBN: 978-3-319-43670-8

Electronic ISBN: 978-3-319-43671-5

Copyright Year: 2017
DOI: https://doi.org/10.1007/978-3-319-43671-5_2