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.
| Version: | 0.3 |
| Published: | 2017-09-09 |
| 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_0.3.tar.gz |
| Windows binaries: | r-devel: jointDiag_0.3.zip, r-release: jointDiag_0.3.zip, r-oldrel: jointDiag_0.3.zip |
| macOS binaries: | r-release: jointDiag_0.3.tgz, r-oldrel: jointDiag_0.3.tgz |
| Old sources: | jointDiag archive |
| Reverse imports: | MMeM, morpheus |
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