Fast, simultaneous and robust VLF-EM data denoising and reconstruction via multivariate empirical mode decomposition
This research applies N-A MEMD for denoising and reconstructing VLF-EM data. The method is able to decompose into IMFs and residue bivariate VLF-EM data simultaneously. NA-MEMD method gives more robust than the EEMD and MEMD and faster than EEMD in recovery bivariate VLF-EM data. The algorithm greatly enhanced the both VLF-EM data making the more interpretable and easier to invert data VLF-EM data.
vlf-em memd bivariate nonlinear noise filtering