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

Yuo Hsien Shiau; Ming Chya Wu

doi:10.1016/j.optcom.2009.12.041

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

Yuo Hsien Shiau, Ming Chya Wu

Department of Physics

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

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.

Original language	English
Pages (from-to)	1909-1916
Number of pages	8
Journal	Optics Communications
Volume	283
Issue number	9
DOIs	https://doi.org/10.1016/j.optcom.2009.12.041
State	Published - 1 May 2010

Keywords

Detrended fluctuation analysis
Empirical mode decomposition
Multiscale entropy
Optoelectronics
Time series analysis

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10.1016/j.optcom.2009.12.041

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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.",

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AU - Wu, Ming Chya

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N2 - 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.

AB - 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.

KW - Detrended fluctuation analysis

KW - Empirical mode decomposition

KW - Multiscale entropy

KW - Optoelectronics

KW - Time series analysis

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VL - 283

SP - 1909

EP - 1916

JO - Optics Communications

JF - Optics Communications

IS - 9

ER -

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

Abstract

Keywords

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