Research of Character About Chaotic Signal Based on Statistics Theory

Author

Nie, Chunyan ; Shi, Yaowu ; Duan, Youzhong ; Wang, Youwei

Author_Institution

Comunication Inst., Jilin Univ., Changchun

Volume

1

fYear

2006

fDate

16-20 2006

Abstract

The statistics characteristic of the chaotic signal is analyzed for the first time utilizing statistic theory. Statistics characteristic of chaos signal is respectively studied from the mean and mean square value of chaotic signal. It is found they all are function of time, which shows chaos signal has non-stationary characteristic. Because routine correlation methods and power spectrum methods all can not show the time-frequently characteristic of chaos signal. So in this paper the method is used about non-stationary signal - time-frequency analytical method through which output chaotic signals are respectively analyzed about Duffing oscillator and Lorenz system. It is proved chaotic signal has non-stationary characteristic through the simulation experiment

Keywords

chaos; correlation methods; statistics; time-frequency analysis; Duffing oscillator; Lorenz system; chaotic signal; correlation methods; mean square value; power spectrum methods; statistics theory; time-frequency analytical method; Chaos; Chaotic communication; Equations; Oscillators; Perturbation methods; Signal analysis; Signal processing; Statistical analysis; Statistics; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2006 8th International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-9736-3

Electronic_ISBN

0-7803-9736-3

Type

conf

DOI

10.1109/ICOSP.2006.344432

Filename

4128768