id: 05700924
dt: j
an: 05700924
au: Pinle, Qin; Yan, Lin; Ming, Chen
ti: Empirical mode decomposition method based on wavelet with translation
    invariance.
so: EURASIP J. Adv. Signal Process. 2008, Article ID 526038, 6 p. (2008).
py: 2008
pu: Springer International Publishing, Basel
la: EN
cc: 
ut: 
ci: 
li: doi:10.1155/2008/526038
ab: Summary: For the mode mixing problem caused by intermittency signal in
    empirical mode decomposition (EMD), a novel filtering method is
    proposed in this paper. In this new method, the original data is
    pretreated by using wavelet denoising method to avoid the mode mixture
    in the subsequent EMD procedure. Because traditional wavelet threshold
    denoising may exhibit pseudo-Gibbs phenomena in the neighborhood of
    discontinuities, we make use of translation invariance algorithm to
    suppress the artifacts. Then the processed signal is decomposed into
    intrinsic mode functions (IMFs) by EMD. The numerical results show that
    the proposed method is able to effectively avoid the mode mixture and
    retain the useful information.
rv: