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>, Vollgraf 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>.
Authors:
jointDiag_0.4.tar.gz
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jointDiag_0.4.tgz(r-4.5-x86_64)jointDiag_0.4.tgz(r-4.5-arm64)jointDiag_0.4.tgz(r-4.4-x86_64)jointDiag_0.4.tgz(r-4.4-arm64)jointDiag_0.4.tgz(r-4.3-x86_64)jointDiag_0.4.tgz(r-4.3-arm64)
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://gouypailler.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gouypailler/jointdiag/issues
Last updated 4 years agofrom:b4f58f9859. Checks:12 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 30 2025 |
R-4.5-win-x86_64 | OK | Mar 30 2025 |
R-4.5-mac-x86_64 | OK | Mar 30 2025 |
R-4.5-mac-aarch64 | OK | Mar 30 2025 |
R-4.5-linux-x86_64 | OK | Mar 30 2025 |
R-4.4-win-x86_64 | OK | Mar 30 2025 |
R-4.4-mac-x86_64 | OK | Mar 30 2025 |
R-4.4-mac-aarch64 | OK | Mar 30 2025 |
R-4.4-linux-x86_64 | OK | Mar 30 2025 |
R-4.3-win-x86_64 | OK | Mar 30 2025 |
R-4.3-mac-x86_64 | OK | Mar 30 2025 |
R-4.3-mac-aarch64 | OK | Mar 30 2025 |
Exports:ajdffdiagjadiagjediqdiaguwedge
Dependencies: