A method for extracting chaotic signal from noisy environment

Li-Jen Shang and Kuo-Kai Shyu

Chaos, Solitons & Fractals, 2009, vol. 42, issue 2, 1120-1125

Abstract: 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.

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:42:y:2009:i:2:p:1120-1125

DOI: 10.1016/j.chaos.2009.03.010

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