DocumentCode
1753064
Title
Analysis of Chaotic System Characters Based on Time-Frequency Distribution
Author
Nie, Chunyan ; Shi, Yaowu ; Yi, Wensuo
Author_Institution
Commun. Inst., Jilin Univ., Changchun
Volume
1
fYear
0
fDate
0-0 0
Firstpage
4842
Lastpage
4845
Abstract
Chaotic signal is non-stationary when chaos system is in chaotic state. Wigner distribution (WD) is one of time-frequently distribution methods. This paper analyzed the characters of chaos system and the energy of output signal. Simulation experiment indicated that chaos system is a narrowband system, because the frequency band of the output signal became narrower, which showed that it can fully suppress the signal outside inherent frequency. At the same time, the WD of chaos signal and random signal were analyzed respectively by time-frequently distribution. The problem, which the two signals are difficult to be distinguished by correlation method and spectrum method, now is deal with successfully. In this paper, the narrowband character of chaos system proposed offer a new way and method for detecting weak signal in strong noise
Keywords
Wigner distribution; chaos; signal detection; spectral analysis; time-frequency analysis; Wigner distribution; chaotic signal; chaotic system; correlation method; narrowband system; random signal; signal detection; spectrum method; time-frequency distribution; Automation; Chaos; Correlation; Discrete wavelet transforms; Intelligent control; Narrowband; Signal analysis; Signal detection; Time frequency analysis; Wigner distribution; chaos system; non-stationary; signal detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location
Dalian
Print_ISBN
1-4244-0332-4
Type
conf
DOI
10.1109/WCICA.2006.1713304
Filename
1713304
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