| Limits to list decoding Reed-Solomon codes |
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Annual ACM Symposium on Theory of Computing
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Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
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Baltimore, MD, USA
SESSION: Session 12A
table of contents
Pages: 602 - 609
Year of Publication: 2005
ISBN:1-58113-960-8
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Downloads (6 Weeks): 13, Downloads (12 Months): 64, Citation Count: 0
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ABSTRACT
In this paper, we prove the following two results that expose some combinatorial limitations to list decoding Reed-Solomon codes. - Given n distinct elements α1,...,αn from a field F, and n subsets S1,...,Sn of F each of size at most l, the list decoding algorithm of Guruswami and Sudan [7] can in polynomial time output all polynomials p of degree at most k which satisfy p(αi) ∈ Si for every i, as long as l < ⌈ n/k ⌉. We show that the performance of this algorithm is the best possible in a strong sense; specifically, we show that when l = ⌈ n/k ⌉, the list of output polynomials can be super-polynomially large in n. One way to interpret our result is the following. The algorithm in [7] can, when given as input $n'$ distinct pairs (βi,∈i) ∈ F2 (the βi's need not be distinct), find and output all degree k polynomials p such that p(βi) = γi for at least $t$ values of i, provided t > √k n'. By our result, an improvement to the Reed-Solomon list decoder of [7] that works with slightly smaller agreement, say t > √kn' - k/2, can only be obtained by exploiting some property of the βi's (for example, their (near) distinctness).
- For Reed-Solomon codes of block length $n$ and dimension k where k = nδ for small enough δ, we exhibit an explicit received word r with a super-polynomial number of Reed-Solomon codewords that agree with it on $(2 - ε) k locations, for any desired ε > 0 (we note agreement of k is trivial to achieve). Such a bound was known earlier only for a non-explicit center. We remark that finding explicit bad list decoding configurations is of significant interest --- for example the best known rate vs. distance trade-off is based on a bad list decoding configuration for algebraic-geometric codes [14] which is unfortunately not explicitly known.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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