Detecting characteristics of information masked by a laser-triggered microwave system via Hilbert-Huang transform

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题名:	Detecting characteristics of information masked by a laser-triggered microwave system via Hilbert-Huang transform
作者:	Shiau,YH;Wu,MC
贡献者:	數據分析方法研究中心
关键词:	FEEDBACK-SYSTEMS;TIME-SERIES;CHAOS;SYNCHRONIZATION;DYNAMICS
日期:	2010
上传时间:	2012-03-27 17:50:08 (UTC+8)
出版者:	國立中央大學
摘要:	A two-wave-mixing microwave system under a delayed feedback control is proposed for chaotic communications in this study. Under the consideration of simple chaotic masking, Hilbert-Huang transform is proved to be an efficient way to detect characteristics of information signals via the spectrum of intrinsic mode functions. Based upon detrended fluctuation as well as multiscale entropy analyses on masking efficiency in the present system, we may suggest that Hilbert-Huang transform would be an alternative method to analyze complex dressed signals from nonlinear optoelectronic systems. (C) 2009 Elsevier B.V. All rights reserved.
關聯:	OPTICS COMMUNICATIONS
显示于类别:	[數據分析方法研究中心 ] 期刊論文

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