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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>.
| Version: | 0.4 |
| Published: | 2020-10-27 |
| DOI: | 10.32614/CRAN.package.jointDiag |
| Author: | Cedric Gouy-Pailler |
| Maintainer: | Cedric Gouy-Pailler <cedric.gouypailler at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/gouypailler/jointDiag |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | jointDiag results |
| Reference manual: | jointDiag.pdf |
| Package source: | jointDiag_0.4.tar.gz |
| Windows binaries: | r-devel: jointDiag_0.4.zip, r-release: jointDiag_0.4.zip, r-oldrel: jointDiag_0.4.zip |
| macOS binaries: | r-release (arm64): jointDiag_0.4.tgz, r-oldrel (arm64): jointDiag_0.4.tgz, r-release (x86_64): jointDiag_0.4.tgz, r-oldrel (x86_64): jointDiag_0.4.tgz |
| Old sources: | jointDiag archive |
| Reverse imports: | HDTSA, iTensor, MMeM |
| Reverse suggests: | gmGeostats |
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