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Conference papers

Continuous Time Dynamical System and Statistical Independence

Madalin Frunzete 1 Lucian Perisoara 1 Jean-Pierre Barbot 2, 3
2 NON-A - Non-Asymptotic estimation for online systems
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
Abstract : Dynamical systems can give information and can be used in applications in various domains. It is important to know the type of information which will be extracted. In an era when everybody is speaking and is producing information that can be referred as big data, here, the way to extract relevant information by sampling a signal is investigated. Each state variable of a dynamical system is sampled with a specific frequency in order to obtain data sets which are statistical independent. The system can provide numbers for random generators and the sequence obtained can be easily reproduced. These type of generators can be used in cryptography.
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Submitted on : Thursday, January 19, 2017 - 10:42:05 PM
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Madalin Frunzete, Lucian Perisoara, Jean-Pierre Barbot. Continuous Time Dynamical System and Statistical Independence. CCSA 2016 - International Conference on Computational Science and Its Applications, Jul 2016, Beijing, China. pp.470-479, ⟨10.1007/978-3-319-42085-1_36⟩. ⟨hal-01441623⟩



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