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    請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/50647


    題名: Detecting characteristics of information masked by a laser-triggered microwave system via Hilbert-Huang transform
    作者: Shiau,YH;Wu,MC
    貢獻者: 數據分析方法研究中心
    關鍵詞: FEEDBACK-SYSTEMS;TIME-SERIES;CHAOS;SYNCHRONIZATION;DYNAMICS
    日期: 2010
    上傳時間: 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
    顯示於類別:[數據分析方法研究中心 ] 期刊論文

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