Search Results for author: Yair Be'ery

Found 8 papers, 0 papers with code

Neural Decoding with Optimization of Node Activations

no code implementations1 Jun 2022 Eliya Nachmani, Yair Be'ery

The problem of maximum likelihood decoding with a neural decoder for error-correcting code is considered.

Graph Permutation Selection for Decoding of Error Correction Codes using Self-Attention

no code implementations1 Jan 2021 Nir Raviv, Avi Caciularu, Tomer Raviv, Jacob Goldberger, Yair Be'ery

Error correction codes are an integral part of communication applications and boost the reliability of transmission.

perm2vec: Graph Permutation Selection for Decoding of Error Correction Codes using Self-Attention

no code implementations6 Feb 2020 Nir Raviv, Avi Caciularu, Tomer Raviv, Jacob Goldberger, Yair Be'ery

Error correction codes are an integral part of communication applications, boosting the reliability of transmission.

Active Deep Decoding of Linear Codes

no code implementations6 Jun 2019 Ishay Be'ery, Nir Raviv, Tomer Raviv, Yair Be'ery

High quality data is essential in deep learning to train a robust model.

Active Learning

Polar Decoding on Sparse Graphs with Deep Learning

no code implementations24 Nov 2018 Weihong Xu, Xiaohu You, Chuan Zhang, Yair Be'ery

In this paper, we present a sparse neural network decoder (SNND) of polar codes based on belief propagation (BP) and deep learning.

Single Particle Analysis

Improving Massive MIMO Belief Propagation Detector with Deep Neural Network

no code implementations2 Apr 2018 Xiaosi Tan, Weihong Xu, Yair Be'ery, Zaichen Zhang, Xiaohu You, Chuan Zhang

Numerical results are presented to demonstrate the performance of the DNN detectors in comparison with various BP modifications.

Near Maximum Likelihood Decoding with Deep Learning

no code implementations8 Jan 2018 Eliya Nachmani, Yaron Bachar, Elad Marciano, David Burshtein, Yair Be'ery

The proposed decoder is based on the neural Belief Propagation algorithm and the Automorphism Group.

RNN Decoding of Linear Block Codes

no code implementations24 Feb 2017 Eliya Nachmani, Elad Marciano, David Burshtein, Yair Be'ery

We also demonstrate improved performance over belief propagation on sparser Tanner graph representations of the codes.

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