2020
DOI: 10.48550/arxiv.2007.12225
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The MMI Decoder is Asymptotically Optimal for the Typical Random Code and for the Expurgated Code

Abstract: We provide two results concerning the optimality of the maximum mutual information (MMI) decoder. First, we prove that the error exponents of the typical random codes under the optimal maximum likelihood (ML) decoder and the MMI decoder are equal. As a corollary to this result, we also show that the error exponents of the expurgated codes under the ML and the MMI decoders are equal. These results strengthen the well known result due to Csiszár and Körner, according to which, these decoders achieve equal random… Show more

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Cited by 4 publications
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