Model-based detector and extraction of weak signal frequencies from   chaotic data

doi:10.1063/1.2827500

CORC > 北京大学 > 工学院

	Model-based detector and extraction of weak signal frequencies from chaotic data
	Zhou, Cangtao ; Cai, Tianxing ; Lai, Choy Heng ; Wang, Xingang ; Lai, Ying-Cheng
刊名	chaos
	2008
关键词	GENERALIZED LORENZ EQUATIONS DETERMINISTIC NOISE OSCILLATOR BEHAVIOR SYSTEMS
DOI	10.1063/1.2827500
英文摘要	Detecting a weak signal from chaotic time series is of general interest in science and engineering. In this work we introduce and investigate a signal detection algorithm for which chaos theory, nonlinear dynamical reconstruction techniques, neural networks, and time-frequency analysis are put together in a synergistic manner. By applying the scheme to numerical simulation and different experimental measurement data sets (Henon map, chaotic circuit, and NH(3) laser data sets), we demonstrate that weak signals hidden beneath the noise floor can be detected by using a model-based detector. Particularly, the signal frequencies can be extracted accurately in the time-frequency space. By comparing the model-based method with the standard denoising wavelet technique as well as supervised principal components analysis detector, we further show that the nonlinear dynamics and neural network-based approach performs better in extracting frequencies of weak signals hidden in chaotic time series. (C) 2008 American Institute of Physics.; Mathematics, Applied; Physics, Mathematical; SCI(E); 1; ARTICLE; 1; 18
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/249223]
专题	工学院
推荐引用方式 GB/T 7714	Zhou, Cangtao,Cai, Tianxing,Lai, Choy Heng,et al. Model-based detector and extraction of weak signal frequencies from chaotic data[J]. chaos,2008.
APA	Zhou, Cangtao,Cai, Tianxing,Lai, Choy Heng,Wang, Xingang,&Lai, Ying-Cheng.(2008).Model-based detector and extraction of weak signal frequencies from chaotic data.chaos.
MLA	Zhou, Cangtao,et al."Model-based detector and extraction of weak signal frequencies from chaotic data".chaos (2008).