jointDiag

Different algorithms to perform approximate joint diagonalization of a finite set of square matrices. Depending on the algorithm, orthogonal or non-orthogonal diagonalizer is found. These algorithms are particularly useful in the context of blind source separation. Original publications of the algorithms can be found in Ziehe et al. (2004), Pham and Cardoso (2001) doi:10.1109/78.942614, Souloumiac (2009) doi:10.1109/TSP.2009.2016997, Vollgraff and Obermayer doi:10.1109/TSP.2006.877673. An example of application in the context of Brain-Computer Interfaces EEG denoising can be found in Gouy-Pailler et al (2010) doi:10.1109/TBME.2009.2032162.

Last 30 days

This package has been downloaded 268 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 20 times.

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Last 365 days

This package has been downloaded 4,056 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jun 04, 2024 with 70 downloads.

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