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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 1 month ago 22 main
conda 71.4 kB | linux-64/r-jointdiag-0.4-r42h76d94ec_0.tar.bz2  2 years and 7 months ago 52 main
conda 79.6 kB | win-64/r-jointdiag-0.3-r36hda5aaf8_0.tar.bz2  4 years and 10 months ago 80 main
conda 68.3 kB | osx-64/r-jointdiag-0.3-r36h46e59ec_0.tar.bz2  4 years and 10 months ago 19 main
conda 69.0 kB | linux-64/r-jointdiag-0.3-r36h96ca727_0.tar.bz2  4 years and 10 months ago 64 main

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