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• W2073179368 abstract "We say that several scalar time series are dynamically coupled if they record the values of measurements of the state variables of the same smooth dynamical system. We show that much of the information lost due to measurement noise in a target time series can be recovered with a noise reduction algorithm by crossing the time series with another time series with which it is dynamically coupled. The method is particularly useful for reduction of measurement noise in short length time series with high uncertainties." @default.
• W2073179368 created "2016-06-24" @default.
• W2073179368 creator A5038121849 @default.
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• W2073179368 date "2011-10-17" @default.
• W2073179368 modified "2023-09-30" @default.
• W2073179368 title "Noise reduction by recycling dynamically coupled time series" @default.
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• W2073179368 doi "https://doi.org/10.1063/1.3645969" @default.
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