We consider the problem of list decoding from erasures. We establish lower and upper bounds on the rate of a (linear) code that can be list decoded with list size L when up to a fraction p of its symbols are adversarially erased. Our results show that in the limit of large L, the rate of such a code approaches the capacity (1 − p) of the erasure channel. Such nicely list decodable codes are then used as inner codes in a suitable concatenation scheme to give a uniformly constructive family of asymptotically goodbinary linear codes of rate Ω(ε2/ lg(1/ε)) that can be efficiently list decoded using lists of size O(1/ε) from up to a fraction (1−ε) of erasures. This improves previous results from [14] in this vein, which achieveda rate of Ω(ε3 lg(1/ε)).
CITATION STYLE
Guruswami, V. (2001). List decoding from erasures: Bounds and code constructions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2245, pp. 195–206). Springer Verlag. https://doi.org/10.1007/3-540-45294-x_17
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