Fast List Decoding of Univariate Multiplicity and Folded Reed-Solomon Codes
Rohan Goyal, Prahladh Harsha, Mrinal Kumar, Ashutosh Shankar
Abstract
We show that the known list-decoding algorithms for univariate multiplicity and folded Reed-Solomon (FRS) codes can be made to run intime. Univariate multiplicity codes and FRS codes are natural variants of Reed-Solomon codes that were discovered and studied for their applications to list decoding. It is known that for every, and rate, there exist explicit families of these codes that have rateand can be list decoded from afraction of errors with constant list size in polynomial time (Guruswami & Wang (IEEE Trans. Inform. Theory 2013) and Kopparty, Ron-Zewi, Saraf & Wootters (SIAM J. Comput. 2023)). In this work, we present randomized algorithms that perform the above list-decoding tasks in, whereis the block-length of the code. Our algorithms have two main components. The first component builds upon the lattice-based approach of Alekhnovich (IEEE Trans. Inf. Theory 2005), who designed atime list-decoding algorithm for Reed-Solomon codes approaching the Johnson radius. As part of the second component, we designtime algorithms for two natural algebraic problems: given a-variate polynomialthe first algorithm solves order-m linear differential equations of the formwhile the second solves functional equations of the form, whereis an arbitrary constant andis a field element of sufficiently high order. These algorithms can be viewed as generalizations of classicaltime algorithms of Sieveking (Computing 1972) and Kung (Numer. Math. 1974) for computing the modular inverse of a power series, and might be of independent interest.
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