Blind Separation Based on Particle Filtering for Chaotic Signal

[1] Hyvarinen A, Karhunen J, and Oja E. Independent Component Analysis. New York: Wiley, 2001, chapter 1. 徐茂格： 男，1982年生，博士生，研究方向为非线性系统与混沌理论、粒子滤波技术. [2] Andreyev Y V and Dmitriev A S. Separation of chaotic signal sum into components in the presence of noise[J].IEEE Trans. on Circuits Syst. I.2003, 50(5):613-618 [3] Wang B Y and Zheng W X. Blind extraction of chaotic signal from an instantaneous linear mixture[J].IEEE Trans. on Circuits Syst.II: Express Brieffs.2006, 53(2):143-147 [4] Liu Kai, Li Hui, Dai Xu-Chu, and Xu Pei-Xia. Particle filtering based separation of chaotic signals[J].Journal of Information Computational Science.2005, 2(2):283-287 [5] Doucet A, Godsill S, and Andrieu C. On sequential Monte Carlo sampling methods for Bayesian filtering[J], Statist. Comput., 2000, 10(3): 197-208. [6] Gordon N J, Salmond D J , and Smith A F M. Novel approach to nonlinear/non-Gaussian Bayesian state estimation[J].IEE Proceedings on Radar and Signal Processing.1993, 140(2):107-113 [7] Chen R, Wang X, and Liu J S. Adaptive joint detection and decoding in flat-fading channels via mixture Kalman filtering, IEEE Trans. on Info.Theory. 2000, 46(6): 2079-2094. [8] Liu J and Chen R. Blind deconvolution via sequential imputations[J].J. Amer. Statist.Assoc.1995, 90(430):567-576 [9] Ling C, Wu X F, and Sun S G. A general efficient method for chaotic signal estimation[J].IEEE Trans. on Signal Processing.1999, 47(5):1424-1428