Schreiber, T. (1999). Interdisciplinary application of nonlinear time series methods. Physics Reports, 308, 1--64. Home/Search Document Details and Download
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Measuring Information Transport - Schreiber Self-citation (Schreiber) (Correct)
....establishing critical observables for process monitoring, deducing structural information from data, prediction of failure or other transitions, among others. Concerning recent approaches to the analysis of time series from allegedly nonlinear sources, several general overview articles (see [1] for a recent one) as well as a few text books [2, 3] and software tools [5, 6] More classical references within the statistics literature are given by Refs. 4] I will here report on an example for the use of novel time series techniques to extract qualitative, structural information. This ....
T. Schreiber. Interdisciplinary application of nonlinear time series methods. Phys. Rep., 308:2, 1999.
Nonlinear time series analysis: Measuring information transport - Schreiber Self-citation (Schreiber) (Correct)
....establishing critical observables for process monitoring, deducing structural information from data, prediction of failure or other transitions, among others. Concerning recent approaches to the analysis of time series from allegedly nonlinear sources, several general overview articles (see [1] for a recent one) and article collections [2 5] are available, as well as a few text books [6 8] More classical references within the statistics literature are given by Refs. 9, 10] Rather than adding another review to this list, I will use most of this space to report on an example for the ....
T. Schreiber. Interdisciplinary application of nonlinear time series methods. Phys. Rep., 308:2, 1999.
Surrogate Time Series - Schreiber, Schmitz (1999) (7 citations) Self-citation (Schreiber) (Correct)
....a Hypothesis vs. Testing Against Surrogates 24 A The TISEAN implementation 24 A.1 Measures of nonlinearity . 24 A.2 Iterative FFT surrogates . 25 A.3 Annealed surrogates . 25 1 1 Introduction A nonlinear approach to analysing time series data [1 5] can be motivated by two distinct reasons. One is intrinsic to the signal itself while the other is due to additional knowledge we may have about the nature of the observed phenomenon. As for the first motivation, it might be that the arsenal of linear methods has been exploited thoroughly but all ....
T. Schreiber, Interdisciplinary application of nonlinear time series methods, Phys. Reports 308, 1 (1998).
Measuring Nonlinear Dynamics - Schreiber Self-citation (Schreiber) (Correct)
....although I will borrow concepts and language that is related to low dimensional chaos. The analysis and control of nonlinear systems through observations is discussed in a comprehensive reprint collection [5] and two recent monographs [6,7] A review emphasising applications is given by Ref. [8]. An extensive collection of software that implements nonlinear time se1 ries techniques is given by the TISEAN project [9] It is publically available from http: www.mpipks dresden.mpg.de tisean. Fundamental Concepts Nonlinear dynamics is a rich field of research and also applications to time ....
Schreiber, T.: Interdisciplinary application of nonlinear time series methods. Physics Reports, in press, 1998
Interdisciplinary Application of Nonlinear Time Series Methods - Schreiber (1998) (3 citations) Self-citation (Schreiber) (Correct)
....us discuss the extraction of the fetal electrocardiogram (FECG) from non invasive maternal recordings. Other very similar applications include the removal of ECG artefacts from electro myogram (EMG) recordings (electric potentials of muscle) and spike detection in electroencephalogram (EEG) data [217]. Fetal ECG extraction can be regarded as a three way filtering problem since we have to assume that a maternal abdominal ECG recording consists of three main components, the maternal ECG, the fetal ECG, and exogenous noise, mostly from action potentials of intervening muscle tissue. All three ....
T. Schreiber, unpublished, 1997. 86 T. Schreiber, Interdisciplinary application of nonlinear time series methods
The Delay Vector Variance Method for Detecting Determinism and .. - Gautama, al. (Correct)
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Schreiber, T. (1999). Interdisciplinary application of nonlinear time series methods. Physics Reports, 308, 1--64.
Signal Nonlinearity in fMRI: A Comparison between BOLD and.. - Gautama, Mandic, Van Hulle (Correct)
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T. Schreiber, "Interdisciplinary application of nonlinear time series methods," Phys. Rep., vol. 308, no. 1, pp. 2--64, 1999.
International Journal of Neural Systems - Special Issue On (Correct)
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T. Schreiber, Interdisciplinary application of nonlinear time series methods, Phys. Rep. 308 (1999), 1-64.
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