期刊
ENTROPY
卷 24, 期 10, 页码 -出版社
MDPI
DOI: 10.3390/e24101499
关键词
distributed storage; Blaum-Roth codes; all-erasure decoding; decoding complexity
资金
- National Natural Science Foundation of China [62071121]
- National Key R&D Program of China [2020YFA0712300]
This paper introduces two existing decoding methods and three modified decoding methods for Blaum-Roth codes, which have lower decoding complexity than the existing ones.
Blaum-Roth Codes are binary maximum distance separable (MDS) array codes over the binary quotient ring F-2[X]/(M-p(x)), where M-p(x) = 1 + x + ... + x(P-1), and p is a prime number. Two existing all-erasure decoding methods for Blaum-Roth codes are the syndrome-based decoding method and the interpolation-based decoding method. In this paper, we propose a modified syndrome-based decoding method and a modified interpolation-based decoding method that have lower decoding complexity than the syndrome-based decoding method and the interpolation-based decoding method, respectively. Moreover, we present a fast decoding method for Blaum-Roth codes based on the LU decomposition of the Vandermonde matrix that has a lower decoding complexity than the two modified decoding methods for most of the parameters.
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