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Tighter List-Size Bounds for List-Decoding and Recovery of Folded Reed-Solomon and Multiplicity Codes
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abstract
Folded Reed-Solomon (FRS) and univariate multiplicity codes are prominent polynomial codes over finite fields, renowned for achieving list decoding capacity. These codes have found a wide range of applications beyond the traditional scope of coding theory. In this paper, we introduce improved bounds on the list size for list decoding of these codes, achieved through a more streamlined proof method. Additionally, we refine an existing randomized algorithm to output the codewords on the list, enhancing its success probability and reducing its running time. Lastly, we establish list-size bounds for a fixed decoding parameter. Notably, our results demonstrate that FRS codes asymptotically attain the generalized Singleton bound for a list of size $2$ over a relatively small alphabet, marking the first explicit instance of a code with this property.
Forward citations
Cited by 2 Pith papers
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Let's Have Both! Optimal List-Recoverability via Alphabet Permutation Codes
Alphabet-permutation codes achieve the optimal list-recovery tradeoff of random codes with only polynomially many random bits.
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Bivariate Linear Operator Codes
Bivariate linear operator codes generalize linear operator codes and prove a unified list-decodability condition that captures permuted product codes.
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