Labview Based Empirical Mode Type Signal Decomposition Algorithm For Non-stationary signals

摘要

This paper proposes a method to analyze non-linear signals in time domain more effectively. The noise variance is used as the threshold for denoising a signal using an improved empirical mode decomposition (EMD).The time domain is decomposed using EMD. Stationarity of a signal is not assumed as the IMFs differ with time. Therefore it is more apt for nonlinear signals compared to other methods such as Wavelets and Fourier. This way EMD is a more attracting method for analyzing signals from complex systems. For automation and measurement LabVIEW is a powerful and adaptable analysis and instrumentation software system. Since it is software based it ensures greater flexibility than standard laboratory instruments.