Title :
Uniqueness Condition for Nonunitary Joint Diagonalization
Author :
Zhang, Yan-liang ; Jia, Hui-juan ; Guo, Hui
Abstract :
Joint Diagonalization(JD) of a set of matrices is a potential tool in signal processing area. The uniqueness condition for Non-unitary Joint Diagonalization(NJD) is deduced in this paper, which serve as a mathematical foundation for the application of NJD. The uniqueness of NJD is that the vectors consisting of diagonal elements in the same position of diagonal matrix are pairwise linearly independent. Numerical simulations confirm the conclusion in this paper.
Keywords :
Computer science; Independent component analysis; Information science; Instruments; Machine vision; Man machine systems; Numerical simulation; Personal digital assistants; Signal processing; Source separation; Blind Source Separation(BSS); Essential Equal; Joint Diagonalization; Signal processing; Uniqueness Condition;
Conference_Titel :
Machine Vision and Human-Machine Interface (MVHI), 2010 International Conference on
Conference_Location :
Kaifeng, China
Print_ISBN :
978-1-4244-6595-8
Electronic_ISBN :
978-1-4244-6596-5
DOI :
10.1109/MVHI.2010.32
