Sparsity Constraint Implementation for the Joint Eigenvalue Decomposition of Matrices
Author:
Affiliation:
1. Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel,Marseille,France
2. Université de Toulon, Aix Marseille Université, CNRS, Seatech, LIS, UMR 7020,La Garde,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10094641.pdf?arnumber=10094641
Reference17 articles.
1. A new class of block coordinate algorithms for the joint eigenvalue decomposition of complex matrices
2. A new Jacobi-like method for joint diagonalization of arbitrary non-defective matrices
3. The joint eigenvalue decomposition algorithm based on first-order Taylor expansion via the exterior penalty function method
4. Joint EigenValue Decomposition Algorithms Based on First-Order Taylor Expansion
5. Simultaneous diagonalization with similarity transformation for non-defective matrices;fu;ICASSP 2006 2006 IEEE International Conference on Acoustics Speech and Signal Processing,2006
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