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Unsupervised Linear and Nonlinear Channel Equalization and Decoding
  using Variational Autoencoders

Unsupervised Linear and Nonlinear Channel Equalization and Decoding using Variational Autoencoders

21 May 2019
Avi Caciularu
D. Burshtein
ArXivPDFHTML

Papers citing "Unsupervised Linear and Nonlinear Channel Equalization and Decoding using Variational Autoencoders"

9 / 9 papers shown
Title
Online Optimization for Learning to Communicate over Time-Correlated Channels
Online Optimization for Learning to Communicate over Time-Correlated Channels
Zheshun Wu
Junfan Li
Zenglin Xu
Sumei Sun
Jie Liu
37
0
0
01 Sep 2024
Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs
Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs
Luca Schmid
Tomer Raviv
Nir Shlezinger
Laurent Schmalen
33
5
0
23 Jan 2024
Transformers are Provably Optimal In-context Estimators for Wireless Communications
Transformers are Provably Optimal In-context Estimators for Wireless Communications
Vishnu Teja Kunde
Vicram Rajagopalan
Chandra Shekhara Kaushik Valmeekam
Krishna R. Narayanan
S. Shakkottai
D. Kalathil
J. Chamberland
35
4
0
01 Nov 2023
Neural Decoding with Optimization of Node Activations
Neural Decoding with Optimization of Node Activations
Eliya Nachmani
Yair Be’ery
30
11
0
01 Jun 2022
Blind Equalization and Channel Estimation in Coherent Optical
  Communications Using Variational Autoencoders
Blind Equalization and Channel Estimation in Coherent Optical Communications Using Variational Autoencoders
V. Lauinger
F. Buchali
Laurent Schmalen
15
30
0
25 Apr 2022
CMDNet: Learning a Probabilistic Relaxation of Discrete Variables for
  Soft Detection with Low Complexity
CMDNet: Learning a Probabilistic Relaxation of Discrete Variables for Soft Detection with Low Complexity
Edgar Beck
C. Bockelmann
Armin Dekorsy
18
12
0
25 Feb 2021
perm2vec: Graph Permutation Selection for Decoding of Error Correction
  Codes using Self-Attention
perm2vec: Graph Permutation Selection for Decoding of Error Correction Codes using Self-Attention
Nir Raviv
Avi Caciularu
Tomer Raviv
Jacob Goldberger
Yair Be’ery
18
8
0
06 Feb 2020
An Introduction to Deep Learning for the Physical Layer
An Introduction to Deep Learning for the Physical Layer
Tim O'Shea
J. Hoydis
AI4CE
89
2,171
0
02 Feb 2017
Learning to Decode Linear Codes Using Deep Learning
Learning to Decode Linear Codes Using Deep Learning
Eliya Nachmani
Yair Be’ery
D. Burshtein
95
456
0
16 Jul 2016
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