trapmusic_matlab

Version 1.0 (7.86 KB) by Matti Stenroos
TRAP MUSIC algorithm for MEG/EEG multi-source localization
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Updated 22 Apr 2020
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This library contains Matlab implementation of TRAP MUSIC multi-source localization algorithm. The library contains three functions trapmusic_presetori.m trapmusic_optori.m trapmusic_example.m

The implementation is based on
Makela, Stenroos, Sarvas, Ilmoniemi. Truncated RAP-MUSIC (TRAP-MUSIC) for MEG and EEG source localization. NeuroImage 167(2018):73--83. https://doi.org/10.1016/j.neuroimage.2017.11.013 For further information on the TRAP MUSIC approach, please see the publication. I also kindly ask you to cite the paper, if you use the approach and/or this implementation. If you do not have access to the paper, please send me a request by email.

I share the programs hoping that they would be useful for EEG/MEG data analysis, method development and learning. The programs are built and tested in Matlab R2019b, but they should work in any recent Matlab version. If not, please let me know.

trapmusic_matlab is licensed under BSD 3-Clause License. Copyright (c) 2020, Matti Stenroos. All rights reserved. The software comes without any warranty.

Cite As

Matti Stenroos (2025). trapmusic_matlab (https://github.com/MattiStenroos/trapmusic_matlab/releases/tag/v1.0), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2020a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.