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Aperta - TÜBİTAK Açık Arşivi
Other literature type . 2016
License: CC BY
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IEEE Transactions on Information Theory
Article . 2016 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
DBLP
Article . 2016
Data sources: DBLP
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Multidimensional Quasi-Cyclic and Convolutional Codes

Authors: Cem Güneri; Buket Özkaya;

Multidimensional Quasi-Cyclic and Convolutional Codes

Abstract

We introduce multidimensional analogues of quasi-cyclic (QC) codes and study their algebraic structure. We demonstrate a concatenated structure for multidimensional QC codes and use this to prove that this class of codes is asymptotically good. We also relate the new family of codes to convolutional codes. It is known that the minimum distance of QC codes provides a natural lower bound on the free distance of convolutional codes. We show that the same relation also holds between certain rank one 2-D convolutional codes and the related multidimensional QC codes. We provide examples, which show that our bound is sharp in some cases. We also present some optimal 2-D QC codes. Along the way, we provide a condition on the encoders of rank one convolutional codes, which are equivalent to noncatastrophicity for 1-D convolutional codes. In the $n\text{D}$ case ( $n>1$ ), our condition is sufficient for the noncatastrophicity of the encoder.

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Turkey
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Keywords

QA150-272.5 Algebra, 003

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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