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- W2023341131 abstract "We would like to draw the attention of specialists in time series analysis to a simple but efficient algorithm for the determination of hidden periodic regimes in complex time series. The algorithm is stable towards additive noise and allows one to detect periodicity even if the examined data set contains only a few periods. In such cases it is more suitable than other techniques, such as spectral analysis or recurrence map. We recommend the use of this test prior to the evaluation of attractor dimensions and other dynamical characteristics from experimental data." @default.
- W2023341131 created "2016-06-24" @default.
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- W2023341131 date "1995-02-01" @default.
- W2023341131 modified "2023-10-16" @default.
- W2023341131 title "A SIMPLE TEST FOR HIDDEN PERIODICITY IN TIME SERIES DATA" @default.
- W2023341131 doi "https://doi.org/10.1142/s0218127495000211" @default.
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