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

Yuo Hsien Shiau, Ming Chya Wu

Research output: Contribution to journalArticlepeer-review

3 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 languageEnglish
Pages (from-to)1909-1916
Number of pages8
JournalOptics Communications
Volume283
Issue number9
DOIs
StatePublished - 1 May 2010

Keywords

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

Fingerprint

Dive into the research topics of 'Detecting characteristics of information masked by a laser-triggered microwave system via Hilbert-Huang transform'. Together they form a unique fingerprint.

Cite this