Gradient method for blind chaotic signal separation based on proliferation exponent  

作　　者：吕善翔 王兆山 胡志辉 冯久超 

机构地区：[1]School of Electronic and Information Engineering, South China University of Technology

出　　处：《Chinese Physics B》2014年第1期142-147,共6页中国物理B（英文版）

基　　金：Project supported by the National Natural Science Foundation of China(Grant No.60872123);the Joint Fund of the National Natural Science Foundation and the Natural Science Foundation of Guangdong Province,China(Grant No.U0835001);the Fundamental Research Funds for the Central Universities of China(Grant No.2012ZM0025);the South China University of Technology,China,and the Fund for Higher-Level Talents in Guangdong Province,China(Grant No.N9101070)

摘　　要：A new method to perform blind separation of chaotic signals is articulated in this paper, which takes advantage of the underlying features in the phase space for identifying various chaotic sources. Without incorporating any prior information about the source equations, the proposed algorithm can not only separate the mixed signals in just a few iterations, but also outperforms the fast independent component analysis （FastlCA） method when noise contamination is considerable.A new method to perform blind separation of chaotic signals is articulated in this paper, which takes advantage of the underlying features in the phase space for identifying various chaotic sources. Without incorporating any prior information about the source equations, the proposed algorithm can not only separate the mixed signals in just a few iterations, but also outperforms the fast independent component analysis （FastlCA） method when noise contamination is considerable.

关 键 词：blind separation chaotic signals phase space 

分 类 号：O415.5[理学—理论物理] TN911.6[理学—物理]