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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/70161


    Title: Detecting characteristics of information masked by a laser-triggered microwave system via Hilbert–Huang transform
    Authors: 蕭又新
    Shiau,Yuo-Hsien;Wu,Ming-Chya
    Contributors: 應物所
    Date: 2010.05
    Issue Date: 2014-09-25 12:22:34 (UTC+8)
    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.
    Relation: Optics Communications,283(9),1909-1916
    Data Type: article
    DOI link: http://dx.doi.org/10.1016/j.optcom.2009.12.041
    DOI: 10.1016/j.optcom.2009.12.041
    Appears in Collections:[Graduate Institute of Applied Physics] Periodical Articles

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