A bitwise over-parameterized neural decoder for polar codes is introduced with explicit theoretical bounds on bit and block error rates derived via convergence analysis, local generalization, and Gaussian approximation under AWGN.
Deep- learning-aided successive-cancellation decoding of polar codes
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Bitwise Over-Parameterized Neural Polar Decoding: A Theoretical Performance Analysis
A bitwise over-parameterized neural decoder for polar codes is introduced with explicit theoretical bounds on bit and block error rates derived via convergence analysis, local generalization, and Gaussian approximation under AWGN.