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Detecting characteristics of information masked by a laser-triggered microwave system via Hilbert-Huang transform |
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| Authors: | Yuo-Hsien Shiau Ming-Chya Wu |
| Institution: | a Graduate Institute of Applied Physics, National Chengchi University, Taipei 11605, Taiwan, ROC b Research Center for Adaptive Data Analysis, National Central University, Chungli 32001, Taiwan, ROC c Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan, ROC |
| 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. |
| Keywords: | Optoelectronics Detrended fluctuation analysis Multiscale entropy Empirical mode decomposition Time series analysis |
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