Published October 30, 2009 | Version v1
Journal article

A method for extracting chaotic signal from noisy environment

  • 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.2009.03.010

Additional 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.