@inproceedings{c12cd0acd4ff432ca4d309faf65f10bd,
title = "Noise-aided gradient descent bit-flipping decoders approaching maximum likelihood decoding",
abstract = "In the recent literature, the study of iterative LDPC decoders implemented on faulty-hardware has led to the counter-intuitive conclusion that noisy decoders could perform better than their noiseless version. This peculiar behavior has been observed in the finite codeword length regime, where the noise perturbating the decoder dynamics help to escape the attraction of fixed points such as trapping sets.",
keywords = "LDPC codes, MLD performance, Noisy GDBF, Noisy iterative decoding, Probabilistic GDBF",
author = "D. Declercq and C. Winstead and B. Vasic and F. Ghaffari and P. Ivanis and E. Boutillon",
note = "Funding Information: This work has been funded in part by the ANR under grants ANR-15-CE25-0006-01 (NAND) and ANR-UEFlSCDI joint research programme (DIAMOND), and the NSF under grants CCF-1314147 and ECCS-1500170 Publisher Copyright: {\textcopyright} 2016 IEEE.; 9th International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2016 ; Conference date: 05-09-2016 Through 09-09-2016",
year = "2016",
month = oct,
day = "17",
doi = "10.1109/ISTC.2016.7593125",
language = "English (US)",
series = "International Symposium on Turbo Codes and Iterative Information Processing, ISTC",
publisher = "IEEE Computer Society",
pages = "300--304",
booktitle = "2016 9th International Symposium on Turbo Codes and Iterative Information Processing",
}