JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2010, Vol. 40 ›› Issue (5): 17-23.

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An AR parameters-based source selection method in general nonlinear blind source extraction

CAI Ying 1, WANG Gang 2*   

  1. 1. Sichuan TOP Vocational Institute of Information Technology, Chengdu 611743, China;
    2. School of Electronic Engineering,University of Electronic Science and Technology of China, Chengdu 610054, China
  • Received:2010-04-23 Online:2010-10-16 Published:2010-04-23

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Abstract:

In the nonlinear blind source separation (BSS) case,an AR parameters method was introduced as a new selection procedure. Compared with previous methods, the proposed algorithm not only can do the separation, but also can extract any desired signal with the corresponding AR parameter. It can deal with nonlinear blind source extraction (BSE) at the cost of more prior information and its performance is demonstrated on nonlinearly mixed speech data.
 

Key words: nonlinear blind source extraction, nonlinear blind source extraction, mean square prediction error (MSPE), mean cross prediction error (MCPE), AR parameter

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