Published October 30, 2009
| Version v1
Journal article
A method for extracting chaotic signal from noisy environment
Creators
- 1. Department of Electrical Engineering, National Central University, No. 300, Jhongda Rd., Jhongli City, Taoyuan County 32001, Taiwan (China)
Description
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.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.chaos.2009.03.010Additional details
Identifiers
- DOI
- 10.1016/j.chaos.2009.03.010;
- PII
- S0960-0779(09)00122-2;
Publishing Information
- Journal Title
- Chaos, Solitons and Fractals
- Journal Volume
- 42
- Journal Issue
- 2
- Journal Page Range
- p. 1120-1125
- ISSN
- 0960-0779
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 41020519
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Descriptors DEI
- AMPLITUDES; CHAOS THEORY; INFORMATION THEORY; NOISE; SIGNALS
- Descriptors DEC
- MATHEMATICS
Optional Information
- Copyright
- Copyright (c) 2009 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.