3 papers
cs.IT2020
perm2vec: Graph Permutation Selection for Decoding of Error Correction Codes using Self-Attention
Nir Raviv, Avi Caciularu, Tomer Raviv +2
Error correction codes are an integral part of communication applications, boosting the reliability of transmission. The optimal decoding of transmitted codewords is the maximum li…
cs.IT2020
Data-Driven Ensembles for Deep and Hard-Decision Hybrid Decoding
Tomer Raviv, Nir Raviv, Yair Be'ery
Ensemble models are widely used to solve complex tasks by their decomposition into multiple simpler tasks, each one solved locally by a single member of the ensemble. Decoding of e…
cs.IT2019
Active Deep Decoding of Linear Codes
Ishay Be'ery, Nir Raviv, Tomer Raviv +1
High quality data is essential in deep learning to train a robust model. While in other fields data is sparse and costly to collect, in error decoding it is free to query and label…