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acgpr

Autonomous cognitive ground penetrating radar (GPR)

adapting-the-wavenet-deep-learning-model-for-radar-classification

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

Advanced Machine Learning Specialization on Coursera

ars408_driver

astyx-vis

visualization of ASTYX automotive dataset (radar/lidar/camera)

automotive-radar-data-simulation

automotive_target_classification

automotive target classification based on radar spectrogram image

avsensorcoverage

Coverage, redundancy and blind spots of autonomous vehicles

awesome-radar-perception

A curated list of radar datasets, detection, tracking and fusion

borealis

Object Classification via Range Doppler Plots on PMCW Radar Data

carrada_dataset

classification-of-objects-using-a-radar-signal-and-machine-learning

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.

cognitive-radar

cognitive-radar---dynamic-optimisation-of-radar-performance-based-on-the-perception-action-cycle-of-

computer-vision---image-basics-with-opencv-and-python

It is an image processing project using OpenCV and Python. [Project done on Coursera Project Network]

coursera-deep-learning-in-computer-vision

Coursera's Deep Learning in Computer Vison course files.

coursera-digital-signal-processing

Project files for Martin Vetterli's course on signal processing.

cs5014-p2

Classification of objects using a radar signal and machine learning

cs5014-practical-1

Predicting energy performance of residential buildings

cs5014-practical-2

Classification of Objects using a Radar Signal and Machine Learning

csradar

Compressed Sensing for improved radar target classification

dataengineering-mini-bootcamp

deep-learning-specialization

Deep Learning Specialization on Coursera

deepcon18

DeepCon'18 Yapay Zeka Konferansı

digital-signal-processing--ecole-polytechnique-federale-de-lausanne---coursera

Course materials for the Coursera MOOC: Digital Signal Processing from Ecole Polytechnique Federale de Lausanne

direction-of-arrival-estimation-for-radar

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)

dynamic-cfar

Repository for Cognitive Radar publication focused on dynamic CFAR detection.

emitter-detection-book

MATLAB code companion to Emitter Detection and Geolocation for Electronic Warfare (Artech House, 2019)

emitter-detection-python

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.

far

Reproduction of the research paper: Fully adaptive radar for target classification