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

NCUIR > Research Center > Research Center for adaptive Data analysis > journal & Dissertation > Item 987654321/50647

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/50647

Title:	Detecting characteristics of information masked by a laser-triggered microwave system via Hilbert-Huang transform
Authors:	Shiau,YH;Wu,MC
Contributors:	數據分析方法研究中心
Keywords:	FEEDBACK-SYSTEMS;TIME-SERIES;CHAOS;SYNCHRONIZATION;DYNAMICS
Date:	2010
Issue Date:	2012-03-27 17:50:08 (UTC+8)
Publisher:	國立中央大學
Abstract:	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.
Relation:	OPTICS COMMUNICATIONS
Appears in Collections:	[Research Center for adaptive Data analysis ] journal & Dissertation

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	872	View/Open

社群 sharing