Package: jointDiag 0.4
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>.
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jointDiag_0.4.tar.gz
jointDiag_0.4.tar.gz(r-4.5-noble)jointDiag_0.4.tar.gz(r-4.4-noble)
jointDiag_0.4.tgz(r-4.4-emscripten)jointDiag_0.4.tgz(r-4.3-emscripten)
jointDiag.pdf |jointDiag.html✨
jointDiag/json (API)
# Install 'jointDiag' in R: |
install.packages('jointDiag', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gouypailler/jointdiag/issues
Last updated 4 years agofrom:084a834a58. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 04 2024 |
R-4.5-linux-x86_64 | OK | Dec 04 2024 |
Exports:ajdffdiagjadiagjediqdiaguwedge
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