A frequency scanner for Gqrx Software Defined Radio receiver

ECDC Early warning tool using Twitter data

A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM Systems

R interface for FDA Adverse Event Reporting System

OpenSource FAERS Database Cleansing, Merging and Analysis using postgresql

Code for our paper: Improved deep learning techniques in gravitational-wave data analysis.

Cluster Analysis of Trimmed Spectrograms: framework for detection and denoising of sparse signals in time-frequency domain.

The DetectoR R Shiny app provides a handy platform allowing for early identification of signals and an ongoing monitoring of safety along the medical product development phase and lifecycle.

Arduino library for detecting state change on analog and digital pins

Open-source, collaborative benchmarks of signal detection and denoising methods in the time-frequency plane.

Neural Network Time Signal Detection with Wasserstein Loss

Code and Datasets for the paper "Towards early detection of adverse drug reactions: combining pre-clinical drug structures and post-market safety reports", published on BMC Medical Informatics and Decision Making in 2019.

Classifying Radio signal coming from space

A MIMO detector with unknown noise statistics.

Augmented Pre-training Networks for Multi-type Signal Detection and Classification in Time-Frequency Spectrogram

Rank aggregated signal detection for VAERS data

A Model-Based Signal Processing Library Working With Windowed Linear State-Space and Polynomial Signal Models.

EEG Epileptic Seizure Detection project that focuses on the detection of epileptic seizures in EEG recordings using machine learning models applied across multiple data domains: temporal, frequency, and time-frequency. It provides tools for data preprocessing, model training, evaluation, and an interactive graphical interface to explore and analyze

Resources for Signal Detection Lab

Maths and Matlab code to multilaterate an undefined point in 3D space, based on reception times of 4+ microphones receiving an impulse created by an emitter at that point... Advanced Bird Watching!