Date of Original Version




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Abstract or Description

The list-decodability of random linear codes is shown to be as good as that of general random codes. Specifically, for every fixed finite field Fq, p ∈ (0,1 - 1/q) and ε >; 0, it is proved that with high probability a random linear code C in Fqn of rate (1-Hq(p)-ε) can be list decoded from a fraction p of errors with lists of size at most O(1/ε). This also answers a basic open question concerning the existence of highly list-decodable linear codes, showing that a list-size of O(1/ε) suffices to have rate within ε of the information-theoretically optimal rate of 1 - Hq(p). The best previously known list-size bound was qO(1/ε)(except in the q = 2 case where a list-size bound of O(1/ε) was known). The main technical ingredient in the proof is a strong upper bound on the probability that I random vectors chosen from a Hamming ball centered at the origin have too many (more than Ω(ℓ)) vectors from their linear span also belong to the ball.





Published In

IEEE Transactions on Information Theory, 57, 2, 718-725.