Watch xiaodangshan/Optical-Comm-ML forked from zhoub86/Optical-Comm-ML

Machine learning for optical communication over a dispersive fiber

Watch xiaodangshan/Pruned-DFT-s-FBMC_Python forked from zhoub86/Pruned-DFT-s-FBMC_Python

Simulates pruned DFT spread FBMC and compares the performance to OFDM, SC-FDMA and conventional FBMC. The included classes (QAM, DoublySelectiveChannel, OFDM, FBMC) can be reused in other projects.

Watch xiaodangshan/dl_ofdm forked from zhoub86/dl_ofdm

Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex Convolutional Networks

Watch xiaodangshan/DNN-fading-channel forked from zhoub86/DNN-fading-channel

Autoencoder PHY for fading channel

Watch xiaodangshan/End-to-End-Learning-of-Communications-Systems-Without-a-Channel-Model forked from zhoub86/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

Watch xiaodangshan/Next-Generation-5G-OFDM-Based-Modulations forked from zhoub86/Next-Generation-5G-OFDM-Based-Modulations

Compilation of the different MATLAB codes that were used for the experimental part of the research work presented in the article "Next Generation 5G OFDM-Based Modulations for Intensity Modulation-Direct Detection (IM-DD) Optical Fronthauling".

Watch xiaodangshan/Deep-Learning-based-CSI-Estimation-for-5G-communication forked from zhoub86/Deep-Learning-based-CSI-Estimation-for-5G-communication

A framework to estimate the Channel State Information for a 5G communication

Watch xiaodangshan/Deep_Learning_Based_Power_Control forked from zhoub86/Deep_Learning_Based_Power_Control

Watch xiaodangshan/End2End_GAN forked from zhoub86/End2End_GAN

Conditional GAN based End-to-End Communication System

Watch xiaodangshan/PAPR-net forked from zhoub86/PAPR-net

Deep learning for PAPR reduction in OFDM system