Henry Wen's repositories
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
high-cardinality-geometric-shaping
Gradient-based design tool for geomtrically shaped constellations
vae-equalizer
This repo provides an implementation of a Variational Autoencoder (VAE) based equalizer. This includes a simulation environment with an AWGN channel and a linear optical dual-polaization channel. Additionally, state-of-the-art equalizers are implemented as reference.
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.
Device-Free-Sensing-in-OFDM-Cellular-Network
The code is for the paper: Q. Shi, L. Liu, S. Zhang, and S. Cui, "Device-free sensing in OFDM cellular network," to appear in IEEE J. Sel. Areas Commun..
Must-Reading-on-ISAC
Must Reading Papers, Research Library, Open-Source Code on Integrated Sensing and Communications (aka. Joint Radar and Communications, Joint Sensing and Communications, Dual-Functional Radar Communications)
underwater-MIMO-OFDM
Underwater-OFDM
ISAC
CPM-LFM & CE-OFDM
2D-Convolution-FFT-iFFT
ECE 558 (Digital Imaging Systems) Project 1
OptiCommPy
Simulate optical communications systems with Python.
Cell-free-OTFS
Cell-free Massive MIMO Meets OTFS Modulation
OTFS-MRC-detection-MATLAB-package
OTFS-MRC-detection-MATLAB-package Orthogonal time frequency space (OTFS) is a recently proposed modulation scheme that multiplexes information symbols in the delay-Doppler domain. The information symbols in OTFS experience a roughly flat fading channel even in high mobility wireless channels resulting in better performance than the widely used OFDM
lstm-mlp
This website provides the simulation code produced by Jing Pan for the following article: Jing Pan, Hangguan Shan, Rongpeng Li, Yinxiao Wu, Weihua Wu, Tony. Q. S. Quek, “Channel estimation based on deep learning in vehicle-to-everything environments,” IEEE Communications Letters, vol. 25, no. 6, pp. 1892-1895, June 2021.
so3
Fast and exact Wigner transforms
CoNEXT18_DenseVLC
This repository contains all the source code for the publication: "DenseVLC: A Cell-Free Massive MIMO System with Distributed LEDs" at CoNEXT'18
physical-key-generation
the simulation about the physical layer key generation
OTSM-MATLAB-code
Orthogonal Time Sequency Multiplexing Modulation