Title :
Separation of discrete linear mixed chaotic signals
Author :
Xuchu, Dai ; Jingang, Zhang ; Peixia, Xu
Author_Institution :
Dept. of Electron. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China, Hefei, China
Abstract :
A separation method of a class of discrete linear mixed chaotic signals is presented, which is based on the chaotic self-synchronization characteristic. The condition of separation, parameter choices and nonlinear map functions are deduced by theoretic analysis. Finally, we illustrate this method by numerical simulation. The proposed method may be used to transmit several information-bearing signals simultaneously with a communication link
Keywords :
chaos; signal detection; synchronisation; discrete linear mixed chaotic signals; nonlinear map functions; parameter choices; self-synchronization; signal separation; Chaos; Control systems; Eigenvalues and eigenfunctions; Information science; Nonlinear control systems; Nonlinear dynamical systems; Numerical simulation; Probability density function; Signal design; Source separation;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.862488