TY - GEN
T1 - Empirical mode decomposition based soft-thresholding
AU - Kopsinis, Yannis
AU - McLaughlin, Stephen
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2008
Y1 - 2008
N2 - Inspired by the wavelet soft thresholding principle, shrinkage methods suited for the thresholding of the decomposition modes resulting from applying EMD to a signal are developed in this paper. We show, that although a direct application of this principle is not feasible in the EMD case, it can be appropriately adapted by exploiting the special characteristics of the EMD decomposition modes. Moreover, the SCAD thresholding rule is also incorporated and an iterative soft thresholding procedure is proposed which leads to enhanced denoising performance.
AB - Inspired by the wavelet soft thresholding principle, shrinkage methods suited for the thresholding of the decomposition modes resulting from applying EMD to a signal are developed in this paper. We show, that although a direct application of this principle is not feasible in the EMD case, it can be appropriately adapted by exploiting the special characteristics of the EMD decomposition modes. Moreover, the SCAD thresholding rule is also incorporated and an iterative soft thresholding procedure is proposed which leads to enhanced denoising performance.
UR - http://www.scopus.com/inward/record.url?scp=84863735209&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84863735209
T3 - European Signal Processing Conference
BT - 2008 16th European Signal Processing Conference
PB - IEEE
T2 - 16th European Signal Processing Conference 2008
Y2 - 25 August 2008 through 29 August 2008
ER -