Abstract

We present an efficient list decoding algorithm in the style of Guruswami-Sudan for algebraic geometry codes. Our decoder can decode any such code using O~(sℓωμω−1(n+g))\tilde{\mathcal O}(s\ell^ωμ^{ω-1}(n+g)) operations in the underlying finite field, where nn is the code length, gg is the genus of the function field used to construct the code, ss is the multiplicity parameter, ℓ\ell is the designed list size and μμ is the smallest positive element in the Weierstrass semigroup at some chosen place; the "soft-O" notation O~(⋅)\tilde{\mathcal O}(\cdot) is similar to the "big-O" notation O(⋅){\mathcal O}(\cdot), but ignores logarithmic factors. For the interpolation step, which constitutes the computational bottleneck of our approach, we use known algorithms for univariate polynomial matrices, while the root-finding step is solved using existing algorithms for root-finding over univariate power series.

Explore this paper’s authors, topics and related work.

Building this map preview

BZPEER is loading the nearby papers, people, topics and institutions for this page.

Reviews 0

Write a reviewWrite

No reviews yet.

Discussion 0

Add a commentWrite

No comments yet.