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

License: MIT License

MATLAB 100.00%

sparse2dcca's Introduction

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.

sparse2dcca's People

Contributors

qqaadir avatar idnavid avatar

Stargazers

Stefano Tambalo avatar  avatar  avatar  avatar Zhao Zhang avatar  avatar Alvin Chen avatar

Watchers

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sparse2dcca's Issues

Undefined function in Sparse_2DCCA_rank1

there is an undefined function in Sparse_2DCCA_rank1, line 90, "Lxt = OMP_1D(Kxy*yLy,Xr',reg_wx);". Could you please give the code of this function or give some explanation so I can rewrite it. Thank you so much!

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