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Lower bounds for adaptive locally decodable codes
Random Structures And AlgorithmsPeer ReviewedDeshpande Amit +42005Journals
An error‐correcting code is said to be locally decodable if a randomized algorithm can recover any single bit of a message by reading only a small number of symbols of a possibly corrupted encoding of the message. Katz and Trevisan On the efficiency of local decoding procedures for error correcting codes, STOC, 2000, pp. 80–86 showed that any such code C : {0, 1} n → Σ m with a decoding algorithm that makes at most q probes must satisfy m = Ω(( n /log |Σ|) q /( q −1) ). They assumed that the decoding algorithm is non‐adaptive, and left open the question of proving similar bounds for adaptive decoders. We show m = Ω(( n /log |Σ|) q /( q −1) ) without assuming that the decoder is nonadaptive. © 2005 Wiley Periodicals, Inc. Random Struct. Alg., 2005

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