Zobrazeno 1 - 9
of 9
pro vyhledávání: '"K. Hauke Kraemer"'
Publikováno v:
Entropy, Vol 24, Iss 11, p 1689 (2022)
In recurrence analysis, the τ-recurrence rate encodes the periods of the cycles of the underlying high-dimensional time series. It, thus, plays a similar role to the autocorrelation for scalar time-series in encoding temporal correlations. However,
Externí odkaz:
https://doaj.org/article/e274f71a43db4170adb7bdb8426d89d6
Autor:
Walter Duesing, Nadine Berner, Alan L. Deino, Verena Foerster, K. Hauke Kraemer, Norbert Marwan, Martin H. Trauth
Publikováno v:
Frontiers in Earth Science, Vol 9 (2021)
The use of cyclostratigraphy to reconstruct the timing of deposition of lacustrine deposits requires sophisticated tuning techniques that can accommodate continuous long-term changes in sedimentation rates. However, most tuning methods use stationary
Externí odkaz:
https://doaj.org/article/713be97a18d7485f9d2302aedbb85df8
Autor:
Norbert Marwan, K. Hauke Kraemer
Publikováno v:
The European Physical Journal Special Topics. 232:5-27
The last decade has witnessed a number of important and exciting developments that had been achieved for improving recurrence plot-based data analysis and to widen its application potential. We will give a brief overview about important and innovativ
Publikováno v:
The European Physical Journal Special Topics.
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In the study of nonlinear observational time series, reconstructing the system’s state space represents the basis for many widely-used analyses. From the perspective of dynamical system’s theory, Taken’s theorem states that under benign conditi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eaeba63000bbc30d8d2bfb96c3b0ef06
https://doi.org/10.5194/egusphere-egu22-9626
https://doi.org/10.5194/egusphere-egu22-9626
Couplings in complex real-world systems are often nonlinear and scale dependent. In many cases, it is crucial to consider a multitude of interlinked variables and the strengths of their correlations to adequately fathom the dynamics of a high-dimensi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74777583c8aaec5b5b608cdc2ed948aa
Autor:
Jürgen Kurths, Nikita S. Frolov, K. Hauke Kraemer, Alexander E. Hramov, Elena Pitsik, Vladimir A. Maksimenko, Vadim V. Grubov
Publikováno v:
Chaos: An Interdisciplinary Journal of Nonlinear Science. 30:023111
The development of new approaches to detect motor-related brain activity is key in many aspects of science, especially in brain-computer interface applications. Even though some well-known features of motor-related electroencephalograms have been rev
Akademický článek
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