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IEEE Transactions on Information Theory
Article . 1997 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article . 1997
Data sources: zbMATH Open
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Generalized Bezout's theorem and its applications in coding theory

Generalized Bézout's theorem and its applications in coding theory
Authors: Feng, Gui-Liang; Rao, T. R. N.; Berg, Gene A.; Zhu, Junmei;

Generalized Bezout's theorem and its applications in coding theory

Abstract

The generalized Bézout theorem of the title describes a Sylvester-like matrix whose rank estimates the number of points common to \(r \geq 2\) plane curves. Then, from the abstract: ``A new approach to determine a lower bound for the minimum distance for algebraic-geometric codes defined from a class of plane curves is introduced, based on the generalized Bézout theorem. Examples of more efficient linear codes are constructed using the generalized Bézout theorem and the new approach. For \(d=4\) the linear codes constructed by the new construction are better than or equal to the known linear codes. For \(d\geq 5\) the new codes are better than the known A.G. codes defined from whole spaces. The Klein codes \([22,16,5]\) and \([22,15,6]\) over \(\text{GF} (2^3)\) and the improved Hermitian code \([64,56,6]\) over \(\text{GF} (2^4)\) are also constructed''.

Related Organizations
Keywords

algebraic-geometric codes, Bézout's theorem, minimum distance, generalized Hamming weights, linear codes, Geometric methods (including applications of algebraic geometry) applied to coding theory, Linear codes (general theory)

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selected citations
These citations are derived from selected sources.
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!
10
Average
Top 10%
Average
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