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
Link To Document :
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