DocumentCode
700162
Title
Empirical mode decomposition based soft-thresholding
Author
Kopsinis, Yannis ; McLaughlin, Stephen
Author_Institution
Sch. of Eng. & Electron., Univ. of Edinburgh, Edinburgh, UK
fYear
2008
fDate
25-29 Aug. 2008
Firstpage
1
Lastpage
5
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.
Keywords
iterative methods; signal denoising; wavelet transforms; SCAD thresholding rule; empirical mode decomposition; iterative soft thresholding procedure; shrinkage methods; wavelet soft thresholding principle; Empirical mode decomposition; Gaussian noise; Noise measurement; Noise reduction; Signal to noise ratio; Speech;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2008 16th European
Conference_Location
Lausanne
ISSN
2219-5491
Type
conf
Filename
7080694
Link To Document