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papr-reduction-in-ofdm-using-selective-mapping-technique

This repository contains a MATLAB code comparing a conventional OFDM implementation and a modified OFDM system that uses Selective Mapping Techniques to reduce Peak to Average Power Ratio PAPR

paprnet

A Peak to Average Power Ratio (PAPR) Reduction method for OFDM Systems using neural networks using the encoder-decoder approach. [Course project for EEE 6207 Broadband Wireless Communication MSc 2019]

planetlab-workload-traces

A set of CPU utilization traces from PlanetLab VMs collected during 10 random days in March and April 2011

plotneuralnet

Latex code for making neural networks diagrams

pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

pogs

Proximal Operator Graph Solver

polar-codes

Python implementation of Polar codes

precoding-mimo-crn

proximal

Sample implementations of proximal operators

pruned-dft-s-fbmc_matlab

Allows to reproduce all figures from "Pruned DFT Spread FBMC: Low PAPR, Low Latency, High Spectral Efficiency", IEEE Transactions on Communications, 2018

pruned-dft-s-fbmc_python

Simulates pruned DFT spread FBMC and compares the performance to OFDM, SC-FDMA and conventional FBMC. The included classes (QAM, DoublySelectiveChannel, OFDM, FBMC) can be reused in other projects.

pso-papr-

pxadmm-gp

pygeneses

A PyTorch based DeepRL framework to train and study artificial species in bio-inspired environments.

pyprox

Proximal algorithms made easy in Python

python-machine-learning

Book source code of Python Machine Learning by Sebastian Raschka

pytorch-optimizer

torch-optimizer -- collection of optimizers for Pytorch

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

qd-realization

A quasi-deterministic (Q-D) channel implementation in MATLAB software

quantile-regression-dqn-pytorch

A very short and easy implementation of Quantile Regression DQN

rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

rainbow-is-all-you-need

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

rapidpf

Matlab code to generate distributed power flow problems.

reinforcement-learning-gold-miner

Reinforcement learning fsoft's competition

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

resnet

Clean, scalable and easy to use ResNet implementation in Pytorch

ris_codes_collection

A collection contains the codes for IRS(RIS) papers.

rlcomp2020

This is sample source code for Reinforcement Learning Competition, hosted by FPT-Software (Hanoi, Vietnam). The game is Gold Miner.

secure-full-duplex-multiuser-systems

sgc

official implementation for the paper "Simplifying Graph Convolutional Networks"