Using empirical mode decomposition method, temperature time series was decomposed into an overall trend and various modes of fluctuations, termed intrinsic mode functions (IMFs).
The first part of the analysis involved the use of EMD to decompose temperature data into IMFs, thus separating temperature time series data into various modes of fluctuations operating at different time scales, as shown in Fig. 1.
Finally, the important modes of price fluctuations of crude oil and gasoline were identified and the distribution characteristics of the time these modes appeared were studied.
Although constant NO concentrations are obtained in the inspiratory limb in both modes of administration, fluctuations in NO concentration are observed at the tracheal site.
The frequency of high-intensity peaks in the mode of sound fluctuation was associated with elevation in blood pressure.
Although such breathing may change the extent to which nucleosomal DNA is wrapped, this mode of structural fluctuation is distinct from site exposure.
Since the methylation process has a certain relaxation time, the chemotaxis signaling pathway functions like a low-pass filter, smoothing out high frequency modes of the CheR fluctuations.
Each IMF represents a specific mode of temperature fluctuations.
The EMD method decomposes weather data into a set of intrinsic oscillations, called intrinsic mode functions (IMFs), that are orthogonal to each other and each represents a certain mode of weather fluctuations.
