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M File_Empirical Mode Decomposition

Hello fellas!

In data analysis techniques, a new method had discovered by N.E. Huang, by combining Hilbert - Huang Transformation (HHT), which is named as Empirical Mode Decomposition (EMD). This method decompose a signal into its Intrinsic Mode Function (IMF) form. This method applies to all types of data stationary or nonstationary and nonlinear. Unlike the Fourier Transformation, HHT is more of an algorithm (empirical approach) which can be applied to the data set.
By using the EMD method, any complicated data set can be decomposed into a finite or limited, and often a small number of components. These components are formed approaching the basis of the orthogonal of original signal, or can be called with the IMF. Without prejudice to the domain time, EMD is a method that is adaptive and having high efficiency. Because decomposition based on the characteristic scale of local time of the data, the EMD can be used to nonlinear and nonstationary processes.While to ensure the IMF it is s…