13 research outputs found

    A Lower Bound on List Size for List Decoding

    Full text link
    A q-ary error-correcting code C āŠ† {1, 2,..., q} n is said to be list decodable to radius Ļ with list size L if every Hamming ball of radius Ļ contains at most L codewords of C. We prove that in order for a q-ary code to be list-decodable up to radius (1 āˆ’ 1/q)(1 āˆ’ Īµ)n, we must have L = ā„¦(1/Īµ 2). Specifically, we prove that there exists a constant cq> 0 and a function fq such that for small enough Īµ> 0, if C is list-decodable to radius (1 āˆ’ 1/q)(1 āˆ’ Īµ)n with list size cq/Īµ 2, then C has at most fq(Īµ) codewords, independent of n. This result is asymptotically tight (treating q as a constant), since such codes with an exponential (in n) number of codewords are known for list size L = O(1/Īµ 2). A result similar to ours is implicit in Blinovsky [Bli1] for the binary (q = 2) case. Our proof is simpler and works for all alphabet sizes, and provides more intuition for why the lower bound arises.

    On the experimental determination of the entropy

    No full text

    Error correction up to the information-theoretic limit

    No full text
    corecore