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Sparse2DCCA

Two dimensional sparse canonical correlation analysis (Sparse2DCCA) for blind source separation and brain image analysis.

Install / Use

/learn @qqaadir/Sparse2DCCA
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Sparse2DCCA

Usage: Just run demo.m file in MATLAB. I have used MATLAB 2017b version to successfully run these scripts.

In case you come across any issue running this simulation setup, please file an issue. I will try to respond as soon as possible.

If you use MATLAB codes provided, please cite this article

Muhammad Ali Qadar, Abdeldjalil Aïssa-El-Bey, Abd-Krim Seghouane, Two dimensional CCA via penalized matrix decomposition for structure preserved fMRI data analysis, Digital Signal Processing, Volume 92, 2019, Pages 36-46, 2019. https://doi.org/10.1016/j.dsp.2019.04.010

This article can be accessed here http://www.sciencedirect.com/science/article/pii/S1051200419300478

Thanks to Navid Shokouhi https://github.com/idnavid for helping with parts of this code development.

Related Skills

View on GitHub
GitHub Stars7
CategoryDevelopment
Updated2y ago
Forks8

Languages

MATLAB

Security Score

70/100

Audited on Nov 30, 2023

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