2010 IEEE Information Theory Workshop 2010
DOI: 10.1109/cig.2010.5592677
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The Euclidean algorithm for Generalized Minimum Distance decoding of Reed-Solomon codes

Abstract: Abstract-This paper presents a method to merge Generalized Minimum Distance decoding of Reed-Solomon codes with the extended Euclidean algorithm. By merge, we mean that the steps taken to perform the Generalized Minimum Distance decoding are similar to those performed by the extended Euclidean algorithm. The resulting algorithm has a complexity of O(n 2 ).

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Cited by 3 publications
(1 citation statement)
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“…Decoding generalized Reed-Solomon codes is classic, but we are particularly interested in syndrome decoding which does not reveal any sensitive information. The algorithm [Sha07,McE77,KB10] that uses the Euclidean algorithm is a syndrome decoding algorithm. It consists in building the polynomials that correspond to the error evaluator and error locator as explained in Theorem 4.3 of [Sha07] and also, as explained at the beginning of the current section 5.2.…”
Section: About Syndrome Computation Leakagementioning
confidence: 99%
“…Decoding generalized Reed-Solomon codes is classic, but we are particularly interested in syndrome decoding which does not reveal any sensitive information. The algorithm [Sha07,McE77,KB10] that uses the Euclidean algorithm is a syndrome decoding algorithm. It consists in building the polynomials that correspond to the error evaluator and error locator as explained in Theorem 4.3 of [Sha07] and also, as explained at the beginning of the current section 5.2.…”
Section: About Syndrome Computation Leakagementioning
confidence: 99%