Abstract: In this work we consider a generalization of the well-studied problem of coding for “stuck-at” errors, which we refer to as “strong stuck-at” codes. In the traditional framework of stuck-at ...
Abstract: The error coefficient of a linear code is defined as the number of minimum-weight codewords. In an additive white Gaussian noise channel, optimal linear ...
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