jointDiag
Joint Approximate Diagonalization of a Set of Square Matrices
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.
- Version0.4
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release10/27/2020
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Cedric Gouy-Pailler
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- Reverse Imports3 packages
- Reverse Suggests1 package