Stacked LSTM models are trained to predict the first and second erroneous bits plus a continue-flipping check to improve SCLF decoding performance for polar codes over prior methods.
Exploiting error-correction-CRC for Polar SCL decoding: a deep learning-based approach,
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Deep-Learning-Aided Successive Cancellation List Flip Decoding for Polar Codes
Stacked LSTM models are trained to predict the first and second erroneous bits plus a continue-flipping check to improve SCLF decoding performance for polar codes over prior methods.