Feature extraction of signals using empirical mode decomposition

Author: 
Shweta A. Fulambarkar and Jadhav D.V

This paper presenting a novel method, a non-linear Technique called as Empirical mode decomposition. EMD is an adaptive method for non-stationary signals to represent them as sums of zero-mean amplitude and frequency. It decomposes the signal into several mono-component signals called intrinsic mode function (IMF). The Hilbert transform is used here to analyse this zero mean component to get instantaneous frequency & amplitude variation. EMD clearly identifies non-stationary events consisted in signal. It also used to analyse the solar radiation real world signals, by identifying natural modes of oscillations in it. With additional advantage of EMD method, it is defined for cloud classification by event detection and observing solar radiation on cloud event.

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