Pinned Repositories
Channel-Estimation-OFDM-
-Investigated the efficiency of different estimators to estimate and track channel parameters based on the Mean Squared Error (MSE) performance. The estimators employed in the simulation are LS and MMSE estimators and their performance in the transfer domain was evaluated. MATLAB was used for the simulation of the communication link and analyzing the error between the estimated channel parameters and actual modeled channel parameters.
ChannelNet
Implementation of the paper "Deep Learning-Based Channel Estimation"
complexPyTorch
A high-level toolbox for using complex valued neural networks in PyTorch
cosimo
Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
DeepSC
Pytorch implementation of the DeepSC
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.
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
FATE
An Industrial Grade Federated Learning Framework
few-shot
Repository for few-shot learning machine learning projects
Yonglinz77's Repositories
Yonglinz77/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
Yonglinz77/Channel-Estimation-OFDM-
-Investigated the efficiency of different estimators to estimate and track channel parameters based on the Mean Squared Error (MSE) performance. The estimators employed in the simulation are LS and MMSE estimators and their performance in the transfer domain was evaluated. MATLAB was used for the simulation of the communication link and analyzing the error between the estimated channel parameters and actual modeled channel parameters.
Yonglinz77/ChannelNet
Implementation of the paper "Deep Learning-Based Channel Estimation"
Yonglinz77/complexPyTorch
A high-level toolbox for using complex valued neural networks in PyTorch
Yonglinz77/cosimo
Yonglinz77/Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Yonglinz77/DeepSC
Pytorch implementation of the DeepSC
Yonglinz77/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.
Yonglinz77/FATE
An Industrial Grade Federated Learning Framework
Yonglinz77/few-shot
Repository for few-shot learning machine learning projects
Yonglinz77/ib_cnn
Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane (ECCV2018)
Yonglinz77/Information-Bottleneck-for-Deep-Learning
Implementation of MLP (python) and CNN (PyTorch) with Information Plane visualization.
Yonglinz77/MAE-pytorch
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
Yonglinz77/Maml
Pytorch Maml Implementation and Demo
Yonglinz77/OFDM-System-Implementation-in-Python
An end to end general OFDM system implementation on Python. It is modualrized for better understanding. Also written a function for LSE Channel Estimation and MMSE Channel Estimation.
Yonglinz77/otfs-chan-est-and-eq
Simulation codes for "Channel Estimation and Equalization for CP-OFDM-based OTFS in Fractional Doppler Channels"
Yonglinz77/OTFS-Simulation
A simulation of a wideband wireless communications system with multipath fading for OFDM and OTFS
Yonglinz77/Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
Yonglinz77/PlotNeuralNet
Latex code for making neural networks diagrams
Yonglinz77/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
Yonglinz77/ResUnet
Pytorch implementation of ResUnet and ResUnet ++
Yonglinz77/tensorflow
An Open Source Machine Learning Framework for Everyone