Convergence analysis for initial condition estimation in coupled map lattice systems

Lanxin Lin, Minfen Shen, H. C. So, Chunqi Chang

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

26 Citations (Scopus)

Abstract

In this correspondence, we focus on studying the problem of initial condition estimation for chaotic signals within the coupled map lattice (CML) systems. To investigate the effectiveness of a CML initial condition estimation method with different maps and coupling coefficients, the convergence and divergence properties of the inverse CML systems are analyzed. An inverse largest Lyapunov exponent (ILLE) is proposed to investigate the strength of convergence and divergence in the inverse CML systems, and it can determine if the CML initial condition estimation method is effective. Computer simulations are included to verify the relationship between the effectiveness of the CML initial condition estimation method and its corresponding ILLE. © 2012 IEEE.
Original languageEnglish
Article number6188537
Pages (from-to)4426-4432
JournalIEEE Transactions on Signal Processing
Volume60
Issue number8
DOIs
Publication statusPublished - 2012

Research Keywords

  • Coupled map lattice (CML)
  • initial condition estimation
  • largest Lyapunov exponent
  • signal processing
  • symbolic dynamic

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