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01/15/2023
CRC-Aided Learned Ensembles of Belief-Propagation Polar Decoders
Polar codes have promising error-correction capabilities. Yet, decoding ...
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06/01/2022
Neural Decoding with Optimization of Node Activations
The problem of maximum likelihood decoding with a neural decoder for err...
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09/05/2020
Deep Ensemble of Weighted Viterbi Decoders for Tail-Biting Convolutional Codes
Tail-biting convolutional codes extend the classical zero-termination co...
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02/06/2020
perm2vec: Graph Permutation Selection for Decoding of Error Correction Codes using Self-Attention
Error correction codes are integral part of communication applications, ...
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01/17/2020
Data-Driven Ensembles for Deep and Hard-Decision Hybrid Decoding
Ensemble models are widely used to solve complex tasks by their decompos...
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06/06/2019
Active Deep Decoding of Linear Codes
High quality data is essential in deep learning to train a robust model....
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11/24/2018
Polar Decoding on Sparse Graphs with Deep Learning
In this paper, we present a sparse neural network decoder (SNND) of pola...
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07/05/2018
Joint Neural Network Equalizer and Decoder
Recently, deep learning methods have shown significant improvements in c...
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04/02/2018
Improving Massive MIMO Belief Propagation Detector with Deep Neural Network
In this paper, deep neural network (DNN) is utilized to improve the beli...
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01/08/2018
Near Maximum Likelihood Decoding with Deep Learning
A novel and efficient neural decoder algorithm is proposed. The proposed...
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02/24/2017
