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Learned Belief-Propagation Decoding with Simple Scaling and SNR Adaptation
As an example, for the (32, 16) Reed-Muller code with a highly redundant parity-check matrix, training a PAN with soft-BER loss gives near-maximum-likelihood performance assuming simple scaling with only three parameters.
What Can Machine Learning Teach Us about Communications?
Rapid improvements in machine learning over the past decade are beginning to have far-reaching effects.
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