A method for extracting chaotic signal from noisy environment

Li Jen Shang, Kuo Kai Shyu

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


In this paper, we propose a approach for extracting chaos signal from noisy environment where the chaotic signal has been contaminated by white Gaussian noise. The traditional type of independent component analysis (ICA) is capable of separating mixed signals and retrieving them independently; however, the separated signal shows unreal amplitude. The results of this study show with our method the real chaos signal can be effectively recovered.

Original languageEnglish
Pages (from-to)1120-1125
Number of pages6
JournalChaos, Solitons and Fractals
Issue number2
StatePublished - 30 Oct 2009


Dive into the research topics of 'A method for extracting chaotic signal from noisy environment'. Together they form a unique fingerprint.

Cite this