There are 1 repository under source-localization topic.
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.
pyCAPLunar is a python package to determine the moment tensor of earthquake sources and their uncertainty by using the 3D receiver-side SGT database.
Real-time EEG source localization based on Smarting mBrainTrain EEG headset and implemented in Matlab.
ICA preprocessing & source localization for EEG. Please read wiki for detailed info:
Source localization and connectivity analysis of high-density EEG data
"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 interfaces and neuro-feedback applications.
SDENet as Uncertainty Quantification Method for EEG Source Localization
TRAP MUSIC algorithm for MEG/EEG multi-source localization
TRAP MUSIC algorithm for MEG/EEG multi-source localization
Coupled matrix-tensor factorization for integrating EEG and ffMRI on the brain cortical surface with source reconstruction
The Brain Entropy in space and time (BEst) plug-in in the Brainstorm software
Sparsity enables subcortical source estimation, Krishnaswamy et al, PNAS 2017
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
Robotic Voice Assistant equipped with Binaural Audio Project
This projects presents a couple of signal methods for detecting and localizing an acoustic signal source by using an Arduino Board and 4 microphones.
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 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).
Voice Assistant Project
TeX files and source code for my ISIT 2017 submission. See the readme below for the full version of the paper.