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  Detecting Synchronization and Interrelations in Multivariate Time Series

Parlitz, U., & Luther, S. (2014). Detecting Synchronization and Interrelations in Multivariate Time Series. In 8th Conference of the ESGCO (pp. 169-170). IEEE.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0029-0F7F-9 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0029-0F80-3
Genre: Conference Paper

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 Creators:
Parlitz, Ulrich1, Author           
Luther, Stefan1, Author           
Affiliations:
1Research Group Biomedical Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063288              

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Free keywords: GENERALIZED SYNCHRONIZATION; CHAOTIC SYSTEMS
 Abstract: Different cases of generalized synchronization are discussed with emphasis on methods for detecting them from time series. In particular, we shall focus on synchronization resulting in complex (non-smooth and/or non-invertible) functions or relations between drive and response that can be detected by means of a data driven extension of the auxiliary systems test.

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Language(s): eng - English
 Dates: 2014
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 708936
 Degree: -

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Title: 8th Conference of the European-Study-Group-on-Cardiovascular-Oscillations (ESGCO)
Place of Event: Trento, Italy
Start-/End Date: 2014-05-25 - 2014-05-28

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Title: 8th Conference of the ESGCO
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 169 - 170 Identifier: ISBN: 978-1-4799-3969-5