The BirdsEye RL/RF project enables localization of mobile radio frequency targets, e.g., drones operators, via commericial off-the-shelf sensors.
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Updated
May 10, 2024 - Jupyter Notebook
The BirdsEye RL/RF project enables localization of mobile radio frequency targets, e.g., drones operators, via commericial off-the-shelf sensors.
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
Localization of brain sources measured by EEG using 3 approaches: Gibbs sampler (Markov chain Monte Carlo algorithm), Minimum Norm Estimates (MNE) and Source Imaging based on Structured Sparsity (SISSY)
The Brain Entropy in space and time (BEst) plug-in in the Brainstorm software
"Octopus Realtime Encephalography Lab" is the (hard) real-time networked EEG-lab framework I have developed during my PhD Thesis at Brain Research Lab of Hacettepe University Faculty of Medicine Biophysics Lab. It is meant to be a holistic golden-standard solution for all tasks of cortical source localization/networking, brain-computer interface…
The code of paper "Sequential Attention Source Identification based on Feature Representation".
This projects presents a couple of signal methods for detecting and localizing an acoustic signal source by using an Arduino Board and 4 microphones.
pyCAPLunar is a python package to determine the moment tensor of earthquake sources and their uncertainty by using the 3D receiver-side SGT database.
SDENet as Uncertainty Quantification Method for EEG Source Localization
FP-AUD-SMARTMIC1 provides a firmware running on STM32 which acquires audio signals of four digital MEMS microphones, elaborates them by means of embedded DSP libraries and streams the processed audio to both an USB host and a loudspeaker connected to the relevant expansion board.
The code of paper "A lightweight source localization in the early propagation stage".
The code of paper "A Rapid Source Localization Method in the Early Stage of Large-scale Network Propagation" of the Web Conference 2022 (WWW 2022).
Code to analyze high-density EEG and concurrent EMG/EOG datastreams during balance perturbations (replicates results from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6088363/)
Acoustic source localisation implementation
Coupled matrix-tensor factorization for integrating EEG and ffMRI on the brain cortical surface with source reconstruction
Source localization and connectivity analysis of high-density EEG data
TRAP MUSIC algorithm for MEG/EEG multi-source localization
TRAP MUSIC algorithm for MEG/EEG multi-source localization
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