Empirical mode decomposition based soft-thresholding

Yannis Kopsinis, Stephen McLaughlin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

35 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2008 16th European Signal Processing Conference
PublisherIEEE
Publication statusPublished - 2008
Event16th European Signal Processing Conference 2008 - Lausanne, Switzerland
Duration: 25 Aug 200829 Aug 2008

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491

Conference

Conference16th European Signal Processing Conference 2008
Abbreviated titleEUSIPCO 2008
CountrySwitzerland
CityLausanne
Period25/08/0829/08/08

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Empirical mode decomposition based soft-thresholding'. Together they form a unique fingerprint.

Cite this