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pyphysim

Simulation of Digital Communication (physical layer) in Python.

pyrevolution

Python tutorials and puzzles to share with the world!

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-deep-learning-minicourse

Minicourse in Deep Learning with PyTorch

radio-frequency-energy-harvesting-project

Wireless Sensor Network Utilizing Radio-Frequency Energy Harvesting for Smart Building Applications

radio-modulation-recognition-networks

Radio modulation recognition with CNN and CLDNN networks

radio-resource-spectrum-management

This repository shows some of the codes I implemented for the course Radio Resource Spectrum Management at Aalto Univeristy

radio-transformer-networks

A PyTorch implementation of Radio Transformer Networks from the paper "An Introduction to Deep Learning for the Physical Layer".

radioml_example

A simple example for the modulation classification task using the RADIOML 2016.10A dataset, which can be run on Jupyterhub.

rand-kaczmarz-alg-for-mmimo

Codes for reproducing the numerical results reported in both: "Randomized Kaczmarz Algorithm for Massive MIMO Systems with Channel Estimation and Spatial Correlation" by Victor Croisfelt Rodrigues, José Carlos Marinello Filho, and Taufik Abrão. Wiley International Journal of Communication Systems, 2019. "Kaczmarz Precoding and Detection for Massive MIMO Systems" by the same authors. IEEE Wireless Communications and Networking Conference, Marrakech, Morroco, 2019: 1-6.

raytrace-algorithm

An algorithm about predicting the attenuation of the wireless communication in the city for the meteorological application.

real-time-recurrent-learning

RNN based design of a Controller for a Multi-Input Multi-Output (MIMO) System.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-2nd-edition-by-sutton-exercise-solutions

Solutions of Reinforcement Learning, An Introduction

remote-monitoring-robot

Develop a robot for patrolling applications and communicate with it through a wireless communication link controlling it through PC , the robot can move in all direction and rotating camera installed on shaft motor that provide movement in all direction and through this camera the robot can know where is standing on a map with the help of three reference points .

replacement-autoencoder

Keras Implementation of the Paper "Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis".

reproducible-deep-learning-in-communication

research-process

Channel Estimation

resnet-for-radio-recognition

Implementation and improvement of "Over the Air Deep Learning Based Radio Signal Classification"

resource-allocation-in-cognitive-radio-

Resource allocation for underlay DSA Cognitive Radio networks using reinforcement learning (Q-Learning))

rf-signal-model

CNN models to solve Automatic Modulation Classification problem.

rf_modulation_classification

A project on RF modulation classification using different neural architectures and RF signal representations.

ricediseases-dataset

rician-massive-mimo

Simulation code for “Massive MIMO with Spatially Correlated Rician Fading Channels,” by Özgecan Özdogan, Emil Björnson, and Erik G. Larsson, IEEE Transactions on Communications, vol. 67, no. 5, pp. 3234-3250, May 2019

rlproject

Implements the algorithms presented in "Fast Reinforcement learning for energy efficient wireless communications

rnn-time-series-anomaly-detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

scener2

Vehicle action and scene recognition using fusion of radar and monochrome camera

scheduling-of-energy-harvesting-for-mimo-wireless-powered-communication-networks

This repository contains simulation codes of the article: I. Pehlivan and S. C. Ergen, "Scheduling of Energy Harvesting for MIMO Wireless Powered Communication Networks," in IEEE Communications Letters, vol. 23, no. 1, pp. 152-155, Jan. 2019.

scikit-learn

scikit-learn: machine learning in Python

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