Publications [#386854] of Henry Pfister

Papers Published

1. Buchberger, A; Häger, C; Pfister, HD; Schmalen, L; Amat, AGI, Learned Decimation for Neural Belief Propagation Decoders (November, 2020)
   (last updated on 2026/02/08)

   Abstract:
   We introduce a two-stage decimation process to improve the performance of neural belief propagation (NBP), recently introduced by Nachmani et al., for short low-density parity-check (LDPC) codes. In the first stage, we build a list by iterating between a conventional NBP decoder and guessing the least reliable bit. The second stage iterates between a conventional NBP decoder and learned decimation, where we use a neural network to decide the decimation value for each bit. For a (128,64) LDPC code, the proposed NBP with decimation outperforms NBP decoding by 0.75 dB and performs within 1 dB from maximum-likelihood decoding at a block error rate of $10^{-4}$.