Title :
Efficient Interpolation in the Guruswami–Sudan Algorithm
Author :
Trifonov, Peter V.
Author_Institution :
Distrib. Comput. & Networking Dept., St.-Petersburg State Polytech. Univ., St. Petersburg, Russia
Abstract :
A novel algorithm is proposed for the interpolation step of the Guruswami-Sudan list decoding algorithm. The proposed method is based on the binary exponentiation algorithm, and can be considered as an extension of the Lee-O´Sullivan method. The algorithm is shown to achieve both asymptotical and practical performance gain compared to the case of iterative interpolation algorithm. Further complexity reduction is achieved by employing the reencoding transformation. The key contribution of the paper, which enables the complexity reduction, is a novel randomized ideal multiplication algorithm.
Keywords :
Reed-Solomon codes; communication complexity; decoding; interpolation; Guruswami-Sudan list decoding algorithm; Lee-O´Sullivan method; Reed-Solomon codes; binary exponentiation algorithm; complexity reduction; iterative interpolation algorithm; randomized ideal multiplication algorithm; reencoding transformation; Algorithm design and analysis; Complexity theory; Construction industry; Distributed computing; Electronic mail; Helium; Interpolation; Iterative algorithm; Iterative algorithms; Iterative decoding; Performance gain; Polynomials; Gröbner basis; Guruswami–Sudan algorithm; Reed–Solomon codes; ideal multiplication; interpolation; list decoding; reencoding;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2010.2053901