Application of wavelet transform and EEMD in electromagnetic acoustic signal de-noising

Abstract

The echo signal of electromagnetic acoustic detection have a small amplitude and a low SNR. By means of wavelet transform (WT) and ensemble empirical mode decomposition (EEMD), an electromagnetic acoustic echo signal was analyzed and the results show that both WT and EEMD are efficient ways for processing non-stationary signals. Conclusion can be made the EEMD is more adaptive than WT analysis in processing non-stationary signals. The EEMD method provides a new way in electromagnetic acoustic signal de-noising.