DocumentCode
2710005
Title
Practical methods to identifying chaotic characters
Author
Li, Shilin ; Shang, Qiufeng ; Yin, Chengqun ; Qi, Yincheng
Author_Institution
Dept. of Electron. & Telecommun. Eng., North China Electr. Power Univ., Hebei, China
Volume
1
fYear
2003
fDate
14-17 Dec. 2003
Firstpage
764
Abstract
Two practical methods to identifying chaotic characters are presented for Duffing oscillator used to detect weak signal in this paper. One is for distinguishing chaotic motion from periodic motion, and the other is for distinguishing intermittent chaos from period and calculating the cycle time of the intermittent chaos. The first method is based on image recognition, identifying chaos according to the Euler number of the phase graph. The second method is based on frequency spectrum analysis and filtering.
Keywords
chaos; filtering theory; image recognition; oscillators; signal detection; Duffing oscillator; Euler number; chaotic character identification; chaotic motion; frequency spectrum analysis; image recognition; intermittent chaos; periodic motion; weak signal detection; Bifurcation; Chaos; Frequency; Image recognition; Motion detection; Orbits; Oscillators; Power engineering and energy; Signal detection; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location
Nanjing
Print_ISBN
0-7803-7702-8
Type
conf
DOI
10.1109/ICNNSP.2003.1279387
Filename
1279387
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