AusCommsteam's repositories
GNN-Communication-Networks
This is the repository for the collection of Graph-based Deep Learning for Communication Networks.
MachineLearningNotes
My personal notes
6.867-final-project
Adversarial attacks and defenses against federated learning.
A-MACHINE-LEARNING-APPROACH-FOR-RAINFALL-ESTIMATION-INTEGRATING-HETOROGENEOUS-DATA-SOURCES
This project integrates diverse data sources (weather radar, satellite imagery, ground-based observations) using machine learning for accurate rainfall estimation. It overcomes limitations of individual sources, improving applications in agriculture, hydrology, and disaster management.
AI-Face-Recognition
Web Application allows users to recognize and detect position of a human face on uploaded image in form of URL
ATMOS
A python package to estimate the atmosphere parameters
Atmospheric-Radiation-and-Remote-Sensing
Energy transfer at infrared, visible, and microwave wavelengths, measurements of atmosphere and surface from satellite. Application of techniques from linear algebra and physics to atmospheric problems. GIS using fiona, cartopy and rasterio
awesome-space
🛰️🚀A list of awesome space-related packages and resources maintained by The Orbital Index
CalSat
Some jupyter notebooks and files needed to calculate atmospheric attenuations and signal-related stuff for the Calibration Satellite in the W-band, W-CalSat.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Federated-Transfer-Learning-for-EEG
Federated Transfer Learning for EEG Signal Classification" published in IEEE EMBS 2020 (42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society July 20-24, 2020 via the EMBS Virtual Academy)
GAN-Attack-against-Federated-Deep-Learning
The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.
get-NOAA-doppler
A NOAA satellite signal capture system with Doppler effect correction 📡 ⛅️
gr-lora_sdr
This is the fully-functional GNU Radio software-defined radio (SDR) implementation of a LoRa transceiver with all the necessary receiver components to operate correctly even at very low SNRs. This work has been conducted at the Telecommunication Circuits Laboratory, EPFL.
Ham-Doppler-Calc
Calculates the doppler shift for an amateur satellite.
iris
💻📶A stand-alone training platform for Space Electronic Warfare. Learn how to find and jam communication satellites.
ITU-Rpy
A python implementation of the ITU-R P. Recommendations for atmospheric attenuation modeling
LeoEM
A real-time low-Earth-orbit satellite network emulator
LIFD_AutoEncoders
Jupyter Notebooks Tutorials on Auto Encoders
ML_attenuation_infrasound
Deep learning predictive model of ground transmission loss from a set of wind profiles
Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
pyPEAKO
supervised machine learning framework for peak detection in cloud radar Doppler spectra
RainAttenuation
Rain Attenuation
Rayleigh_Estimation_Using_Traditional_Estimators
Simulating a rayleigh channel in MATLAB and comparing BER to maximum doppler shift
SatDrive-SegFL
MLDL '23 Project: Federated Learning and Semantic Segmentation for Autonomous Driving and Satellite Images Segmentation
SDRSharp.SDT
SDR# Satellite Doppler Tracker Plugin / SDR# 人造卫星多普勒追踪插件
signal-processing
A curated list of signal processing projects using MATLAB.
smart-ml
Machine Learning toolbox
SPP-FL-TIKS
Advancing Cybersecurity Collaboration: A Secure and Privacy-Preserving Federated Learning for Threat Intelligence Knowledge Sharing
Weather_forecasting
Weather forecasting entails predicting how the present state of the atmosphere will change. Present weather conditions are obtained by ground observations, observations from ships, observation from aircraft, radio sounds, doppler radar and satellites.