Optimal codes for minimax criterion on error detection

Abstract
Nonlinear quadratic codes that are optimal for the minimax error detection are presented. Characteristic functions for these codes are asymptotically bent. For a given block size n and the number of codewords |C|, these codes minimize max Q(e), e≠0, where Q(e) is the conditional error-masking probability, given the error pattern e. The codewords are blocks of n symbols from GF(q). Encoding and decoding procedures for the codes are described

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