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
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;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1279387
