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EMD decomposes a signal into some individual, nearly monocomponent signals, named as intrinsic mode function (IMF).
The energy method is used to derive the explicit expression for the lateral buckling mode function.
Firstly, a specific sliding mode function is designed, and the terminal requirements can be achieved by enforcing both the sliding mode function and its derivative to zero at the end of the flight.
Aimed at improving the performance under low sampling rates, a bandwidth criterion for intrinsic mode function (IMF) is proposed.
Firstly, the time-series load data are decomposed into a number of Intrinsic Mode Function (IMF) components through EMD.
Then Phase space reconstruction (PSR) is utilized to determine the optimal input form of each intrinsic mode function (IMF).
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A mixed mode function-boundary element method is developed to solve the transient dynamics of the system in terms of the time histories of the beam displacement responses and water pressure.
(For BROWSE and RANDOM MODE functions, see Page 49 of this manual).
The optimum denoising algorithm is composed of the intrinsic mode functions (without the front 4 intrinsic mode functions) and the remainders in EEMD.
EMD is used for decomposing voltages of transmission line into Intrinsic Mode Functions (IMFs).
It is used to extract the intrinsic mode functions (IMFs) embedded in raw multivariate signals.
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