RECONSTRUCTION OF INFORMATION-BEARING CHAOTIC SIGNALS IN ADDITIVE WHITE GAUSSIAN NOISE: PERFORMANCE ANALYSIS AND EVALUATION-Reference-Cited by-同舟云学术

RECONSTRUCTION OF INFORMATION-BEARING CHAOTIC SIGNALS IN ADDITIVE WHITE GAUSSIAN NOISE: PERFORMANCE ANALYSIS AND EVALUATION

Published:2001-10 Issue:10 Volume:11 Page:2631-2635
ISSN:0218-1274
Container-title:International Journal of Bifurcation and Chaos
language:en
Short-container-title:Int. J. Bifurcation Chaos

Author:

MARIÑO INÉS P.¹,GREBOGI CELSO²,ROSA EPAMINONDAS³

Affiliation:

1. Departamento de Ciencias Experimentales e Ingeniería, Universidad Rey Juan Carlos, Móstoles 28933, Madrid, Spain

2. Instituto de Física, Universidade de São Paulo, Caixa Postal 66318, 05315-970 São Paulo, SP, Brasil

3. Nonlinear Dynamics Laboratory, Department of Physics, University of Miami, Coral Gables, FL 33146, USA

Abstract

Chaotic signals can be used as carriers of information in communication systems since they own some redundancy that can be exploited to reconstruct missing or distorted parts of a waveform that has been transmitted through a communication channel. In this paper, we extend our previous results for the ideal noise free channel [Mariño et al., 1999] to a more general situation where additive white Gaussian noise corrupts the information-bearing chaotic signal.

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Modeling and Simulation,Engineering (miscellaneous)

Link

https://www.worldscientific.com/doi/pdf/10.1142/S021812740100367X

Reference13 articles.

1. Adaptive robust spread-spectrum receivers

2. Coding, Channel Capacity, and Noise Resistance in Communicating with Chaos

3. A METHOD FOR ENCODING MESSAGES BY TIME TARGETING OF THE TRAJECTORIES OF CHAOTIC SYSTEMS

4. Controlling chaotic dynamical systems

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1. UNCOVERING MISSING SYMBOLS IN COMMUNICATION WITH FILTERED CHAOTIC SIGNALS;International Journal of Bifurcation and Chaos;2012-08

2. Information encoding in homoclinic chaotic systems;Chaos: An Interdisciplinary Journal of Nonlinear Science;2003-03

3. Channel coding in communications using chaos;Physics Letters A;2002-03