A method of blind source separation

The paper proposed the definition of signal energy change degrees and proved the properties of signal energy change degrees. Based on the new definition and properties, a blind source separation method has been proposed in this paper. The purpose of separated signal has been achieved by using the generalized eigenvalue theory of the matrices, setting the generalized eigenvalue of signal energy change degrees and solving the generalized eigenvalue of eigenvector. Experimental simulations show that the new method is valid, efficient, and easy to implement in practice.

[1]  Aapo Hyvärinen,et al.  Fast and robust fixed-point algorithms for independent component analysis , 1999, IEEE Trans. Neural Networks.

[2]  Jean-Franois Cardoso.  High-Order Contrasts for Independent Component Analysis , 1999, Neural Computation.

[3]  James V. Stone.  Blind Source Separation Using Temporal Predictability , 2001, Neural Computation.

[4]  Mao Ye,et al.  An Efficient Measure of Signal Temporal Predictability for Blind Source Separation , 2007, Neural Processing Letters.

[5]  Guoxu Zhou,et al.  Blind Source Separation Based on Signal Temporal Predictability , 2008, 2008 3rd International Conference on Innovative Computing Information and Control.

[6]  Jiuchao Feng,et al.  A Blind Source Separation Method Based on , 2009 .