H. Bartz, Thomas Jerkovits, S. Puchinger, J. Rosenkilde
{"title":"Fast Root Finding for Interpolation-Based Decoding of Interleaved Gabidulin Codes","authors":"H. Bartz, Thomas Jerkovits, S. Puchinger, J. Rosenkilde","doi":"10.1109/ITW44776.2019.8989290","DOIUrl":null,"url":null,"abstract":"We show that the root-finding step in interpolation-based decoding of interleaved Gabidulin codes can be solved by finding a so-called minimal approximant basis of a matrix over a linearized polynomial ring. Based on existing fast algorithms for computing such bases over ordinary polynomial rings, we develop fast algorithms for computing them over linearized polynomials. As a result, root finding costs $O^{\\sim}(\\ell^{\\omega}\\mathcal{M}(n))$ operations in $F_{q^{m}}$, where ℓ is the interleaving degree, n the code length, $F_{q^{m}}$ the base field of the code, $2 \\leq \\omega \\leq 3$ the matrix multiplication exponent, and $\\mathcal{M}(n) \\in O(n^{1635})$ is the complexity of multiplying two linearized polynomials of degree at most n. This is an asymptotic improvement upon the previously fastest algorithm of complexity $O(\\ell^{3}n^{2})$, in some cases $O(\\ell^{2}n^{2})$.","PeriodicalId":214379,"journal":{"name":"2019 IEEE Information Theory Workshop (ITW)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Information Theory Workshop (ITW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITW44776.2019.8989290","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
We show that the root-finding step in interpolation-based decoding of interleaved Gabidulin codes can be solved by finding a so-called minimal approximant basis of a matrix over a linearized polynomial ring. Based on existing fast algorithms for computing such bases over ordinary polynomial rings, we develop fast algorithms for computing them over linearized polynomials. As a result, root finding costs $O^{\sim}(\ell^{\omega}\mathcal{M}(n))$ operations in $F_{q^{m}}$, where ℓ is the interleaving degree, n the code length, $F_{q^{m}}$ the base field of the code, $2 \leq \omega \leq 3$ the matrix multiplication exponent, and $\mathcal{M}(n) \in O(n^{1635})$ is the complexity of multiplying two linearized polynomials of degree at most n. This is an asymptotic improvement upon the previously fastest algorithm of complexity $O(\ell^{3}n^{2})$, in some cases $O(\ell^{2}n^{2})$.