Actas de congresos
Blind Extraction Of Chaotic Sources From White Gaussian Noise Based On A Measure Of Determinism
Registro en:
Lecture Notes In Computer Science (including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics). , v. 5441, n. , p. 122 - 129, 2009.
3029743
10.1007/978-3-642-00599-2_16
2-s2.0-67149103768
Autor
Soriano D.C.
Suyama R.
Attux R.
Institución
Resumen
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. © Springer-Verlag Berlin Heidelberg 2009. 5441
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