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Adaptive Modulation using k-NN classification for OFDM system
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"
Frequency domain method to determine band occupancy and modulation parameters for an ensemble of communication signals
Spring 2017 Deep Reinforcement Learning Final Project
Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication
Communication Algorithms via Deep Learning. Paper: https://arxiv.org/abs/1805.09317
Paper and code for the paper Deep Quaternion Networks
Digital signal modulation recognition by high order accumulation and subtractive clustering.
Tensorflow realizes deeplearning
Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex Convolutional Networks
Conditional GAN based End-to-End Communication System
Ref: S. Mosleh, L. Liu, C. Sahin, Y. R. Zheng and Y. Yi, "Brain-Inspired Wireless Communications: Where Reservoir Computing Meets MIMO-OFDM," in IEEE Transactions on Neural Networks and Learning Systems.
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
The codes reproduce the research of our work in our JSTSP paper "An Iterative BP-CNN Architecture for Channel Decoding under Correlated Noise"
Papers
Keras implementations of Generative Adversarial Networks.
A couple of simple GANs in Keras
KEras Reinforcement Learning gYM agents
Julia code for the paper "Learning the MMSE Channel Estimator"
Source Code to my master's thesis with the topic "End-to-end optimisation of MIMO systems using deep learning autoencoders"
Code for the paper "Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels"
Performance analysis of different modulation techniques over different channels
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.