Alternatives and similar repositories for AutoEncoder-Based-Communication-System

Users that are interested in AutoEncoder-Based-Communication-System are comparing it to the libraries listed below

• musicbeer / Deep-Learning-for-the-Physical-Layer
  PyTorch implementation for part of paper "An Introduction to Deep Learning for the Physical Layer" by Kenta Iwasaki on behalf of Gram.AI.
  ☆55Updated 7 years ago
• jcbooth2 / autoencoder_for_physical_layer
  This is my attempt to reproduce and extend the results in the paper "An Introduction to Deep Learning for the Physical Layer" by Tim O'Sh…
  ☆56Updated 3 years ago
• hehengtao / LDAMP_based-Channel-estimation
  This code is for the following paper: H. He, C. Wen, S. Jin, and G. Y. Li, “Deep learning-based channel estimation for beamspace mmwave…
  ☆136Updated 6 years ago
• vidits-kth / py-radio-autoencoder
  Python implementation of autoencoder based radio system
  ☆37Updated 5 years ago
• helloMRDJ / autoencoder-for-the-Physical-Layer
  Using Keras to validate the simulation results according to Paper : "An Introduction to Deep Learning for the Physical Layer"
  ☆30Updated 7 years ago
• neevsamuel / DeepMIMODetection
  ☆65Updated 7 years ago
• tinyxuyan / AE-Com-Roadmap
  Collections of Papers and Codes about Communication Systems Built by Autoencoder
  ☆59Updated 5 years ago
• emilbjornson / deep-learning-channel-estimation
  Simulation code for “Channel Estimation in Massive MIMO under Hardware Non-Linearities: Bayesian Methods versus Deep Learning,” by Özlem …
  ☆101Updated 4 years ago
• Aithu-Snehith / End-to-End-Learning-of-Communications-Systems-Without-a-Channel-Model
  Implementation of research paper: End-to-End Learning of Communications Systems Without a Channel Model
  ☆36Updated 6 years ago
• zhongyuanzhao / dl_ofdm
  Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-valued Convolutional Networks
  ☆141Updated 3 years ago
• LEON-REIN / channel_estimation
  A project which applies different channel-estimating approaches in an OFDM-4QAM communication system.
  ☆35Updated 2 years ago
• haoyye / End2End_GAN
  Conditional GAN based End-to-End Communication System
  ☆76Updated 4 years ago
• YudiDong / Channel_Estimation_cGAN
  Channel Estimation for One-Bit Multiuser Massive MIMO Using Conditional GAN
  ☆97Updated 4 years ago
• rnissel / Channel-Estimation
  Simulates an FBMC and OFDM transmission over a doubly-selective channel. Allows to reproduce all figures from "Doubly-Selective Channel E…
  ☆104Updated 6 years ago
• shamin1998 / Deep-Learning-based-CSI-Estimation-for-5G-communication
  A framework to estimate the Channel State Information for a 5G communication
  ☆33Updated 5 years ago
• Niroman / OFDM-Transmitter-and-Receiver
  An Implementation of OFDM Transmitter and Receiver in Python
  ☆9Updated 5 years ago
• ken0225 / Reproducible-Research-DL-OFDM-WCL17
  Reproducible research on the paper 'Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems'.
  ☆39Updated 2 years ago
• YuZhang-GitHub / 1-Bit-ADCs
  Deep Learning for Massive MIMO with 1-Bit ADCs
  ☆41Updated 5 years ago
• Mehran-Soltani / ChannelNet
  Implementation of the paper "Deep Learning-Based Channel Estimation"
  ☆213Updated 3 years ago
• emilbjornson / MIMO-channel-estimation
  Simulation code for “A Framework for Training-Based Estimation in Arbitrarily Correlated Rician MIMO Channels with Rician Disturbance” b…
  ☆117Updated 7 years ago
• ZhangKaiyao / Deepcom
  a CNN based end to end communication systems
  ☆38Updated 5 years ago
• lxf8519 / DL-hybrid-precoder
  Source code for paper Deep Learning for Direct Hybrid Precoding in Millimeter Wave Massive MIMO Systems
  ☆70Updated 3 years ago
• yihanjiang / Sequential-RNN-Decoder
  Sequential RNN Decoder Code for 'Communication Algorithms via Deep Learning' ICLR paper
  ☆67Updated 7 years ago
• yihanjiang / turboae
  Code for "Turbo Autoencoder: Deep learning based channel code for point-to-point communication channels" NeurIPS 2019
  ☆107Updated last year
• TianLin0509 / DNN_detection_via_keras
  This is the simplest implementation of Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems using keras.
  ☆182Updated 4 years ago
• IIP-Group / massiveMIMOdetection
  Simple massive MIMO simulator that includes several data-detectors
  ☆37Updated 4 years ago
• rishhabhnaik / End-to-end-OFDM-system-with-Deep-Learning-Driven-Approaches
  We first implement an end-to end system on GNU radio using two USRP X310 for the transmitter and the receiver in an indoor setting. We th…
  ☆34Updated 2 years ago
• HamedHojatian / HBF-Net
  Simulation code for "Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming" by Hamed Hojatian, Jeremy Nadal, Jean-Francois Frigo…
  ☆78Updated last year
• gaur1616 / Channel-Estimation-OFDM-
  -Investigated the efficiency of different estimators to estimate and track channel parameters based on the Mean Squared Error (MSE) perfo…
  ☆81Updated 9 years ago
• wangpu03 / wireless-communication
  wireless channel simulation
  ☆48Updated 6 years ago