Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/15837
Title: | Superregular matrices and applications to convolutional codes |
Author: | Almeida, P. J. Napp, D. Pinto, R. |
Keywords: | Convolutional code Forney indices Optimal code Superregular matrix |
Issue Date: | 15-Jun-2016 |
Publisher: | Elsevier |
Abstract: | The main results of this paper are twofold: the first one is a matrix theoretical result. We say that a matrix is superregular if all of its minors that are not trivially zero are nonzero. Given a a×b, a ≥ b, superregular matrix over a field, we show that if all of its rows are nonzero then any linear combination of its columns, with nonzero coefficients, has at least a−b + 1 nonzero entries. Secondly, we make use of this result to construct convolutional codes that attain the maximum possible distance for some fixed parameters of the code, namely, the rate and the Forney indices. These results answer some open questions on distances and constructions of convolutional codes posted in the literature. |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/15837 |
DOI: | 10.1016/j.laa.2016.02.034 |
ISSN: | 0024-3795 |
Appears in Collections: | CIDMA - Artigos AGG - Artigos |
Files in This Item:
File | Description | Size | Format | |
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Final_submitted_reviewed_version_26_Feb_2016.pdf | Main Article | 341.15 kB | Adobe PDF | View/Open |
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