deemdat: Denoising Ensemble Empirical Mode Decomposition and Adaptive...

Description Usage Arguments Details References

View source: R/deemdat.R

Description

random noise removal by band-pass filtering in the time domain based on ensemble empirical mode decomposition (EEMD) combined with adaptive thresholding.

Usage

1
deemdat(x, sigma, m1, m2, ...)

Arguments

x

time serie (ts)

sigma

main parameter to be set

m1

the first (m1 - 1) IMFs are removed

m2

applied between the m1-th and (M - m2)th IMFs

...

additional arguments to be passed to eemd function

Details

thresholding is only applied between the m1-th and (M - m2)th IMFs, and the first (m1 - 1) IMFs are removed, where IMFk is the kth IMF andMis the total number of IMFs of the input signal. If m2 is set to 0, we apply the thresholding from the m1th IMF to the last IMF.

References

HAN, J.; VAN DER BAAN, M. Microseismic and seismic denoising via ensemble empirical mode decomposition and adaptive thresholding. Geophysics, v. 80, n. 6, p. KS69-KS80, 2015.


santoscs/deemdat documentation built on May 29, 2019, 1:47 p.m.