Publications [#359252] of Henry Pfister

Papers Published

1. Buchberger, A; Häger, C; Pfister, HD; Schmalen, L; I Amat, AG, Learned decimation for neural belief propagation decoders (invited paper), 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol. 2021-June (January, 2021), pp. 8273-8277 [doi]
   (last updated on 2023/06/01)

   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 paritycheck (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.