Pinned Repositories
AdaptiveModulationML
Adaptive Modulation using k-NN classification for OFDM system
AutoEncoder-Based-Communication-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/
autoencoder-for-the-Physical-Layer
Using Keras to validate the simulation results according to Paper : "An Introduction to Deep Learning for the Physical Layer"
BandOccupancyAndModulationDetection
Frequency domain method to determine band occupancy and modulation parameters for an ensemble of communication signals
CNN-based-AMC1
CNN_AMC
Cooperative-Multi-Agent-Reinforcement-Learning-for-Low-Level-Wireless-Communication
Spring 2017 Deep Reinforcement Learning Final Project
Deep-Reinforcement-Learning-for-Dynamic-Spectrum-Access
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
JackokiePapers
Papers
radio-signal-generation
lintongtong123's Repositories
lintongtong123/JackokiePapers
Papers
lintongtong123/autoencoder-for-the-Physical-Layer
Using Keras to validate the simulation results according to Paper : "An Introduction to Deep Learning for the Physical Layer"
lintongtong123/CNN_AMC
lintongtong123/Deep-Reinforcement-Learning-for-Dynamic-Spectrum-Access
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
lintongtong123/Deep_Learning_Based_Power_Control
lintongtong123/deepcom
Communication Algorithms via Deep Learning. Paper: https://arxiv.org/abs/1805.09317
lintongtong123/DeepMIMODetection
lintongtong123/DeepQuaternionNetworks
Paper and code for the paper Deep Quaternion Networks
lintongtong123/DL-tenserflow
Tensorflow realizes deeplearning
lintongtong123/dl_ofdm
Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex Convolutional Networks
lintongtong123/End2End_GAN
Conditional GAN based End-to-End Communication System
lintongtong123/ESN_MIMO_v1
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.
lintongtong123/generative_adversarial_networks_101
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
lintongtong123/Iterative-BP-CNN
The codes reproduce the research of our work in our JSTSP paper "An Iterative BP-CNN Architecture for Channel Decoding under Correlated Noise"
lintongtong123/Keras-GAN
Keras implementations of Generative Adversarial Networks.
lintongtong123/KerasGAN
A couple of simple GANs in Keras
lintongtong123/learning-mmse-est
Julia code for the paper "Learning the MMSE Channel Estimator"
lintongtong123/Master-Thesis
Source Code to my master's thesis with the topic "End-to-end optimisation of MIMO systems using deep learning autoencoders"
lintongtong123/meta-autoencoder
Code for the paper "Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels"
lintongtong123/ofdm
lintongtong123/opticalfibreml
Data and code for the paper "Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres" published at NIPS 2018
lintongtong123/polar-coded-SCMA
Matlab simulation code for uplink polar coded SCMA system. "Z. Pan, E. Li, L. Wen, J. Lei, and C. Tang, “Joint iterative detection and decoding receiver for polar coded SCMA system,” in 2018 IEEE International Conference on Communications Workshops (ICC Workshops), May 2018, pp. 1–6."
lintongtong123/Python_CsiNet
Python code for "Deep Learning for Massive MIMO CSI Feedback"
lintongtong123/scma
SCMA BER simulation
lintongtong123/Security-and-Robustness-of-Deep-Learning-in-Wireless-Communication-Systems
A research oriented repository on the Security and Robustness of Deep Learning for Wireless Communication Systems
lintongtong123/Sequential-RNN-Decoder
Sequential RNN Decoder Code for 'Communication Algorithms via Deep Learning' ICLR paper
lintongtong123/source
lintongtong123/tensorflow_multigpu_imagenet
Tensorflow code for training different architectures(DenseNet, ResNet, AlexNet, GoogLeNet, VGG, NiN) on ImageNet dataset + Multi-GPU support + Transfer Learning support
lintongtong123/Thesis_Code_Automatic-Modulation-Classification
Implementation of various Machine Learning Classifiers for my thesis 'Machine Learning Techniques for Automatic Modulation Classification'
lintongtong123/transfer_learning_tensorflow
A easy transfer learning program using tensorflow and tensornets