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Name: Henry Wen
Type: User
Name: Henry Wen
Type: User
Reproducible research on the paper 'Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems'.
ECE 558 (Digital Imaging Systems) Project 1
System-level Simulator for 5G NR-based Integrated Sensing and Communication (ISAC)
Optical Communications: 64-QAM classification with neural networks.
Official codes for "A Transceiver Design Based on an Autoencoder Network for the Multi-Color VLC System"
Collections of Papers and Codes about Communication Systems Built by Autoencoder
Massive MIMO simulation
Simulation codes for "Alternating minimization algorithms for hybrid precoding in millimeter wave MIMO systems," by Xianghao Yu, Juei-Chin Shen, Jun Zhang, and Khaled B. Letaief, IEEE J. Sel. Topics Signal Process., to appear, 2016.
AMC-IoT: Automatic Modulation Classification Using Efficient Convolutional Neural Networks for Low Power IoT Devices
Code containing various models for automatic modulation classification (AMC).
From https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes
학사학위 졸업논문 연구내용 "OFDM 신호검출을 위한 기계학습의 활용" 프로젝트
Repository for the course "Applied Signal Processing" - SSY130 at Chalmers University of Technology
Tensorflow Implementation and result of Auto-encoder Based Communication System From Research Paper : "An Introduction to Deep Learning for the Physical Layer" http://ieeexplore.ieee.org/document/8054694/
Using Keras to validate the simulation results according to Paper : "An Introduction to Deep Learning for the Physical Layer"
This shows how to use Autoencoders for learning constellations and receivers in fiber optical communications
Implementation of simple autoencoders networks with Keras
This repository presents the code for digital modulation detection in Communication networks
Accumulated Polar Feature-based Deep Learning for Automatic Modulation Classification
2018-2019年最新深度学习用于无线通信(物理层)的论文整理,附论文核心**总结与代码分析。(中文)/ A collection of latest papers for wireless communication based on Deep Learning (intelligent communication), with some own understanding and codes analysis.
Cool links & research papers related to Machine Learning applied to source code (MLonCode)
A curated list of awesome Matlab frameworks, libraries and software.
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Official code for "Towards the Automatic Modulation Classification with Adaptive Wavelet Network".
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.