DocumentCode
1196233
Title
Positive definite combination of symmetric matrices
Author
Zaïdi, Abdelhamid
Author_Institution
Dept. de Math., Inst. Nat. des Sci. Appliquees et de Technol., Tunis, Tunisia
Volume
53
Issue
11
fYear
2005
Firstpage
4412
Lastpage
4416
Abstract
This correspondence presents a new algorithm to find a positive definite combination of some given real symmetric matrices. When this problem has solutions, we show that it can be written as an optimization problem. An iterative algorithm using a relaxation type method is proposed to solve this optimization problem. We also prove that this algorithm has a finite-step global convergence property. A comparison, by computer simulations, shows that our algorithm is much faster than another one generally proposed in literature to find such a combination.
Keywords
blind source separation; convergence of numerical methods; iterative methods; matrix algebra; optimisation; relaxation theory; blind source separation; finite-step global convergence property; iterative algorithm; optimization problem; relaxation type method; symmetric matrices; Additive noise; Blind source separation; Colored noise; Computational modeling; Computer simulation; Iterative algorithms; Optimization methods; Symmetric matrices; Vectors; White noise; Convex optimization; eigendecomposition; positive definite matrices; relaxation type method;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2005.855077
Filename
1519708
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