Constructions of MDS convolutional codes using superregular matrices
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Maximum distance separable convolutional codes are the codes that present best performance in error correction for fixed rate and degree. In this paper we present conditions on the coefficients of the entries of the generator matrices of a convolutional code in order to be maximum distance separable. We also present two novel constructions that fulfill these conditions.
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