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Finite Fields and Their Applications
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Finite Fields and Their Applications
Article . 2012
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Generic interpolation polynomial for list decoding

Authors: Robert F. Lax;

Generic interpolation polynomial for list decoding

Abstract

In this article list decoding of one-point algebraic geometry codes is studied, given a nonsingular, absolutely irreducible projective curve defined over a finite field. A one-point algebraic geometry code is obtained by assigning to the functions of a Riemann-Roch space of the form \(L(rP)\), with \(P\) a rational point on the curve, codewords of the form \((f(P_1),\dots,f(P_n))\), with \(P_1,\dots,P_n\) other rational points on the curve. The list decoding of such codes can be done using the Guruswami-Sudan list decoding algorithm. In this algorithm an interpolation polynomial needs to be found. The interpolation polynomial \(Q\) depends on the received word \((r_1,\dots,r_n)\), since it is required to satisfy that it has \((P_i,r_i)\) as a zero, possibly with a certain multiplicity. All interpolation polynomials lie in a certain ideal and the interpolation polynomial needed in the list-decoding algorithm can be found using Gröbner basis techniques. In this paper results of Lee and O'Sullivan are extended to show how to find the interpolation polynomial needed for the list decoding of one-point algebraic geometry codes. Then a generic point of view is taken: since the interpolation polynomial depends on the received word \((r_1,\dots,r_n)\), one can try to find a generic interpolation polynomial by regarding \(r_1,\dots,r_n\) as variables. Specializing these variables in the generic interpolation polynomial to the actually received values, one can obtain the interpolation polynomial needed for the decoding. This approach is certainly of theoretical interest, though it is difficult to find an explicit generic interpolation polynomial if one wants to correct many errors. In the example given in the paper, the authors consider a \([q-1,q-3,3]\) Reed-Solomon code (meaning the underlying algebraic curve is the projective line). A generic interpolation polynomial is given assuming at most one error has occurred.

Keywords

affine variety code, Algebra and Number Theory, Decoding, Applied Mathematics, One-point AG code, one-point algebraic geometry code, Applications to coding theory and cryptography of arithmetic geometry, Gröbner bases; other bases for ideals and modules (e.g., Janet and border bases), generic interpolation polynomial, Affine variety code, Theoretical Computer Science, List decoding, Interpolation polynomial, list decoding, Gröbner basis, Engineering(all), Geometric methods (including applications of algebraic geometry) applied to coding 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!
4
Average
Average
Average
hybrid