Abstract:In this paper we devise a rational curve fitting algorithm and apply it to the list decoding of Reed-Solomon and BCH codes. The resulting list decoding algorithms exhibit the following significant properties.• The algorithm achieves the limit of list error correction capability (LECC) n(1 − √ 1 − D)for a (generalized) (n, k, d = n − k + 1) Reed-Solomon code, which matches the Johnson bound, where D △ = d n denotes the normalized minimum distance. The algorithmic complexity is O n 6 (1 − √ 1 − D) 8 . In compari… Show more
“…Now for a fixed s, it can easily be verified if L and C intersect at two different points on the real plane by checking whether According to (29) any feasible s must satisfy the following inequality which was also derived in Wu [29] …”
Section: Optimizing the Integer Parametersmentioning
confidence: 99%
“…Our approach is particularly feasible for the case that b = 1 and a is restricted to a constant, as illustrated in the next example. Note that the example is an instance of "one-step-ahead" list decoding [29]. …”
Section: Algorithm 1 Minimal List Decoding Of (N K) Rs Codementioning
In this paper we present a minimal list decoding algorithm for Reed-Solomon (RS) codes. Minimal list decoding for a code C refers to list decoding with radius L, where L is the minimum of the distances between the received word r and any codeword in C. We consider the problem of determining the value of L as well as determining all the codewords at distance L. Our approach involves a parametrization of interpolating polynomials of a minimal Gröbner basis G. We present two efficient ways to compute G. We also show that so-called re-encoding can be used to further reduce the complexity. We then demonstrate how our parametric approach can be solved by a computationally feasible rational curve fitting solution from a recent paper by Wu. Besides, we present an algorithm to compute the minimum multiplicity as well as the optimal values of the parameters associated with this multiplicity which results in overall savings in both memory and computation.
“…Now for a fixed s, it can easily be verified if L and C intersect at two different points on the real plane by checking whether According to (29) any feasible s must satisfy the following inequality which was also derived in Wu [29] …”
Section: Optimizing the Integer Parametersmentioning
confidence: 99%
“…Our approach is particularly feasible for the case that b = 1 and a is restricted to a constant, as illustrated in the next example. Note that the example is an instance of "one-step-ahead" list decoding [29]. …”
Section: Algorithm 1 Minimal List Decoding Of (N K) Rs Codementioning
In this paper we present a minimal list decoding algorithm for Reed-Solomon (RS) codes. Minimal list decoding for a code C refers to list decoding with radius L, where L is the minimum of the distances between the received word r and any codeword in C. We consider the problem of determining the value of L as well as determining all the codewords at distance L. Our approach involves a parametrization of interpolating polynomials of a minimal Gröbner basis G. We present two efficient ways to compute G. We also show that so-called re-encoding can be used to further reduce the complexity. We then demonstrate how our parametric approach can be solved by a computationally feasible rational curve fitting solution from a recent paper by Wu. Besides, we present an algorithm to compute the minimum multiplicity as well as the optimal values of the parameters associated with this multiplicity which results in overall savings in both memory and computation.
“…The error-locator polynomial and the error evaluator polynomial can be calculated thanks to Euclide algorithm, Berlekamp-Massey algorithm… [8] [9].…”
Section: Classic Decodingmentioning
confidence: 99%
“…Computation of the prolonged syndrome makes itself from the polynomials Λሺݔሻ and ݓሺݔሻ by using the following relation deducted of the expression (9).…”
Section: Computation Of the Coefficients By Transformmentioning
“…(2) transformer le problème à l'origine. Par exemple, Wu [51] fait un mélange de BerlekampMassey et de Guruswami-Sudan. L'algorithme de Berlekamp-Massey lui donne un résultat intermédiaire, qu'il met à profit pour réduir l'ordre s de multiplicité nécessaire.…”
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