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r / packages / r-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>.

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conda 71.7 kB | linux-64/r-jointdiag-0.4-r43h76d94ec_0.tar.bz2  1 year and 8 months ago 37 main
conda 71.4 kB | linux-64/r-jointdiag-0.4-r42h76d94ec_0.tar.bz2  3 years and 3 months ago 66 main
conda 79.6 kB | win-64/r-jointdiag-0.3-r36hda5aaf8_0.tar.bz2  5 years and 5 months ago 89 main
conda 68.3 kB | osx-64/r-jointdiag-0.3-r36h46e59ec_0.tar.bz2  5 years and 5 months ago 31 main
conda 69.0 kB | linux-64/r-jointdiag-0.3-r36h96ca727_0.tar.bz2  5 years and 5 months ago 77 main

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