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Blind Separation Based on Particle Filtering for Chaotic Signal |
Xu Mao-ge①; Song Yao-liang①; Liu Li-wei② |
①School of Electronic Engineering and Optoelectronic Technology, NJUST, Nanjing 210094, China; ②School of Sciences, NJUST, Nanjing 210094, China |
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Abstract A state space model for chaotic signal blind separation is first suggested, and then combined the Rao-Blackwellisaion (RB) strategy and incorporated roughening noise method, a particle filtering based online blind separation algorithm is proposed. To further decrease the residual noise in the online recovered signals, a novel delay estimation method which can effectively reduce the cross influence of source signals compared to the traditional delay-weight method is proposed.
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Received: 17 August 2006
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