2 citations · 2 across the 1 of their papers we have counts for
5 papers
Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels
Tomer Raviv, Sangwoo Park, Nir Shlezinger +3
Deep neural networks (DNNs) based digital receivers can potentially operate in complex environments. However, the dynamic nature of communication channels implies that in some scen…
Deep Ensemble of Weighted Viterbi Decoders for Tail-Biting Convolutional Codes
Tomer Raviv, Asaf Schwartz, Yair Be'ery
Tail-biting convolutional codes extend the classical zero-termination convolutional codes: Both encoding schemes force the equality of start and end states, but under the tail-biti…
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…
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…
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…