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Autonomous cognitive ground penetrating radar (GPR)
An investigation into radar classification. This project adapts the WaveNet deep learning model to classify radar data directly from the range profiles representation. This technique is compared with the leading approach in the literature of creating micro-Doppler spectrogram images from the data and classifying these images using a CNN.
Advanced Machine Learning Specialization on Coursera
visualization of ASTYX automotive dataset (radar/lidar/camera)
automotive target classification based on radar spectrogram image
Coverage, redundancy and blind spots of autonomous vehicles
A curated list of radar datasets, detection, tracking and fusion
Object Classification via Range Doppler Plots on PMCW Radar Data
a practical executed to classify objects using a radar signal and machine learning. Data was provided which contains a part that labeled and another which wasn’t labeled. The aim of the practical is to develop a good machine learning model using the labeled data to generalize on new data, in this case, the unlabeled data. The data are of two types, one for binary classification, that is, two labels/outputs and multiclass classification, that is, more than two labels/outputs. The models with the best performance in each case will be used to predict on the unlabeled data.
It is an image processing project using OpenCV and Python. [Project done on Coursera Project Network]
Coursera's Deep Learning in Computer Vison course files.
Project files for Martin Vetterli's course on signal processing.
Classification of objects using a radar signal and machine learning
Predicting energy performance of residential buildings
Classification of Objects using a Radar Signal and Machine Learning
Compressed Sensing for improved radar target classification
Deep Learning Specialization on Coursera
DeepCon'18 Yapay Zeka Konferansı
Course materials for the Coursera MOOC: Digital Signal Processing from Ecole Polytechnique Federale de Lausanne
In this repository, w implement a direction of arrivals (DoA) classic and super-resolution algorithms such Multi-signals Classification (MUSIC) and estimation of signal parameters via rotational invariant techniques (ESPRIT)
Repository for Cognitive Radar publication focused on dynamic CFAR detection.
MATLAB code companion to Emitter Detection and Geolocation for Electronic Warfare (Artech House, 2019)
This repository is a port of the MATLAB software companion to Emitter Detection and Geolocation for Electronic Warfare, by Nicholas A. O'Donoughue, Artech House, 2019.
Reproduction of the research paper: Fully adaptive radar for target classification
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.