Efficient interpolation in the Guruswami–Sudan algorithm

PV Trifonov - IEEE Transactions on Information Theory, 2010 - ieeexplore.ieee.org
IEEE Transactions on Information Theory, 2010ieeexplore.ieee.org
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 …
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.
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