The health of the brain and muscles depends on proper analysis electroencephalogram electromyogram signals without noise. latter blends into recording biomedical for external or internal reasons human body. Therefore, to obtain a more accurate signal, it is needed select filtering techniques that minimize In this study, used are empirical mode decomposition its variants. Among new versions vari...

Time-frequency analysis plays a significant role in seismic data processing and interpretation. Complete ensemble empirical mode decomposition decomposes a seismic signal into a sum of oscillatory components, with guaranteed positive and smoothly varying instantaneous frequencies. Analysis on synthetic and real data demonstrates that this method promises higher spectral-spatial resolution than ...

In this paper, we investigate eligibility of trend extraction through the empirical mode decomposition (EMD) and performance improvement of applying the ensemble EMD (EEMD) instead of the EMD for trend extraction from seasonal time series. The proposed method is an approach that can be applied on any time series with any time scales fluctuations. In order to evaluate our algorithm, experimental...