Joint Approximate Diagonalization of a Set of Square Matrices
Wrapper: Joint approximate diagonalization of a set of matrices
Joint Approximate Diagonalization of a set of square, symmetric and re...
Joint Approximate Diagonalization of a set of square, symmetric and re...
Approximate non-orthogonal joint diagonalization of a set of square re...
Joint Approximate Diagonalization of a set of square, symmetric and re...
Joint Approximate Diagonalization of a set of square, symmetric and re...
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>.