Title :
Empirical mode decomposition based soft-thresholding
Author :
Kopsinis, Yannis ; McLaughlin, Stephen
Author_Institution :
Sch. of Eng. & Electron., Univ. of Edinburgh, Edinburgh, UK
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;
Conference_Titel :
Signal Processing Conference, 2008 16th European
Conference_Location :
Lausanne