Blind Extraction of Chaotic Sources from White Gaussian Noise Based on a Measure of Determinism

Authors:
Diogo C. Soriano;Ricardo Suyama;Romis Attux
Affiliations:
Dept. of Computer Engineering and Industrial Automation School of Electrical and Computer Engineering (FEEC), University of Campinas, (Unicamp), Campinas, Brazil CEP 13083-970 and Lab. of Signal P ...;Dept. of Microwave and Optics School of Electrical and Computer Engineering (FEEC), University of Campinas, (Unicamp), Campinas, Brazil CEP 13083-970 and Lab. of Signal Processing for Communicatio ...;Dept. of Computer Engineering and Industrial Automation School of Electrical and Computer Engineering (FEEC), University of Campinas, (Unicamp), Campinas, Brazil CEP 13083-970 and Lab. of Signal P ...
Venue:
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
Year:
2009

Citing 2
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Abstract

This work presents a new method to perform blind extraction of chaotic signals mixed with stochastic sources. The technique makes use of the features underlying the generation of chaotic sources to recover a signal that is "as deterministic as possible". The method is applied to invertible and underdertemined mixture models and illustrates the potential of incorporating such a priori information about the nature of the sources in the process of blind extraction.