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Computer and Information Technology, International Conference on (2004)
Wuhan, China
Sept. 14, 2004 to Sept. 16, 2004
ISBN: 0-7695-2216-5
pp: 839-844
Shuxue Ding , University of Aizu
Jie Huang , University of Aizu
Daming Wei , University of Aizu
Sadao Omata , Nihon University
ABSTRACT
In this paper, we investigate some issues related to real-time processing for independent component analysis (ICA), based on gradient learning with simultaneous perturbation stochastic approximation (SPSA). Real-time ICA processing is especially necessary for an application in dynamic mixing environment, since a batch type of ICA processing can work well only in a static or stationary mixing environment. Although there are many choices for an ICA object function to which SPSA can be applied, in this paper, we choose a diagonality of the non-linear correlation matrix as our object function. Theories and implementations of the algorithm are described. Results of computer simulation are also presented to demonstrate the effectiveness.
INDEX TERMS
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CITATION

S. Ding, D. Wei, S. Omata and J. Huang, "Signal Extensions in Independent Component Analysis and Its Application for Real-Time Processing," Computer and Information Technology, International Conference on(CIT), Wuhan, China, 2004, pp. 839-844.
doi:10.1109/CIT.2004.1357299
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