Ensemble Empirical Mode Decomposition: An adaptive method for noise reduction
Empirical mode decomposition (EMD) a data analysis technique, is used to denoise non stationary and non linear processes. The method does not require any pre post processing of signal and use of any specified basis functions. But EMD suffers from a problem called mode mixing. So to overcome this problem a new method known as Ensemble Empirical mode decomposition (EEMD) has been introduced. The presented paper gives the detail of EEMD and its application in various fields. EEMD is a time space analysis method, in which the added white noise is averaged out with sufficient number of trials; and the averaging process results in only the component of the signal (original data) EEMD is a truly noise assisted data analysis (NADA) method and represents a substantial improvement over the original EMD.