9 research outputs found
Decoding of Interleaved Reed-Solomon Codes Using Improved Power Decoding
We propose a new partial decoding algorithm for -interleaved Reed--Solomon
(IRS) codes that can decode, with high probability, a random error of relative
weight at all code rates , in time polynomial in the
code length . For , this is an asymptotic improvement over the previous
state-of-the-art for all rates, and the first improvement for in the
last years. The method combines collaborative decoding of IRS codes with
power decoding up to the Johnson radius.Comment: 5 pages, accepted at IEEE International Symposium on Information
Theory 201
Improved Power Decoding of One-Point Hermitian Codes
We propose a new partial decoding algorithm for one-point Hermitian codes
that can decode up to the same number of errors as the Guruswami--Sudan
decoder. Simulations suggest that it has a similar failure probability as the
latter one. The algorithm is based on a recent generalization of the power
decoding algorithm for Reed--Solomon codes and does not require an expensive
root-finding step. In addition, it promises improvements for decoding
interleaved Hermitian codes.Comment: 9 pages, submitted to the International Workshop on Coding and
Cryptography (WCC) 201
Fast Decoding of Interleaved Linearized Reed-Solomon Codes and Variants
We construct s-interleaved linearized Reed-Solomon (ILRS) codes and variants
and propose efficient decoding schemes that can correct errors beyond the
unique decoding radius in the sum-rank, sum-subspace and skew metric. The
proposed interpolation-based scheme for ILRS codes can be used as a list
decoder or as a probabilistic unique decoder that corrects errors of sum-rank
up to , where s is the interleaving order, n the
length and k the dimension of the code. Upper bounds on the list size and the
decoding failure probability are given where the latter is based on a novel
Loidreau-Overbeck-like decoder for ILRS codes. The results are extended to
decoding of lifted interleaved linearized Reed-Solomon (LILRS) codes in the
sum-subspace metric and interleaved skew Reed-Solomon (ISRS) codes in the skew
metric. We generalize fast minimal approximant basis interpolation techniques
to obtain efficient decoding schemes for ILRS codes (and variants) with
subquadratic complexity in the code length. Up to our knowledge, the presented
decoding schemes are the first being able to correct errors beyond the unique
decoding region in the sum-rank, sum-subspace and skew metric. The results for
the proposed decoding schemes are validated via Monte Carlo simulations.Comment: submitted to IEEE Transactions on Information Theory, 57 pages, 10
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