Abstract: We propose a maximum a posteriori (MAP)-approaching decoder, namely a posteriori guessing random additive noise decoding (AP-GRAND), which generalizes the existing maximum likelihood ...

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Abstract: Random numbers influence many applications such as statistical sampling, artificial intelligence, machine learning, etc. Still, random numbers are almost inseparable from cryptographic ...