There are 1 repository under source-localization topic.
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
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. Please check st.com where a more recent version of the software might be available.
The BirdsEye RL/RF project enables localization of mobile radio frequency targets, e.g., drones operators, via commericial off-the-shelf sensors.
EEG & MRI processing, Micro-States analysis & Sources localization
pyCAPLunar is a python package to determine the moment tensor of earthquake sources and their uncertainty by using the 3D receiver-side SGT database.
Sequential adaptive elastic net (SAEN) approach, complex-valued LARS solver for weighted Lasso/elastic-net problems, and sparsity (or model) order detection with an application to single-snapshot source localization.
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
The Brain Entropy in space and time (BEst) plug-in in the Brainstorm software
Coupled matrix-tensor factorization for integrating EEG and ffMRI on the brain cortical surface with source reconstruction
TRAP MUSIC algorithm for MEG/EEG multi-source localization
TRAP MUSIC algorithm for MEG/EEG multi-source localization
Sparsity enables subcortical source estimation, Krishnaswamy et al, PNAS 2017
Acoustic source localisation implementation
The code of paper "A lightweight source localization in the early propagation stage".
The code of paper "Sequential Attention Source Identification based on Feature Representation".
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)
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/)
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).
This projects presents a couple of signal methods for detecting and localizing an acoustic signal source by using an Arduino Board and 4 microphones.
Biomedical Signal & Image Processing Lab Projects.
EEG Signal Processing project, solving the brain source localization problem using various methods and models.
Robotic Voice Assistant equipped with Binaural Audio Project
Voice Assistant Project
New Localization Frameworks: User-centric Approaches to Source Localization in Real-world Propagation Cascades
Processing bioelectrical signals and medical images
TeX files and source code for my ISIT 2017 submission. See the readme below for the full version of the paper.