Journal
IEEE TRANSACTIONS ON SIGNAL PROCESSING
Volume 57, Issue 4, Pages 1351-1362Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSP.2009.2013885
Keywords
Empirical mode decomposition (EMD); signal denoising; wavelet thresholding
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Funding
- Engineering and Physical Sciences Research Council [EP/C523776/1] Funding Source: researchfish
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One of the tasks for which empirical mode decomposition (EMD) is potentially useful is nouparametric signal denoising, an area for which wavelet thresholding has been the dominant technique for many years. In this paper, the wavelet thresholding principle is used in the decomposition modes resulting from applying EMD to a signal. We show that although a direct application of this principle is not feasible in the EMD case, it can he appropriately adapted by exploiting the special characteristics of the EMD decomposition modes. In the same manner, inspired by the translation invariant wavelet thresholding, a similar technique adapted to EMD is developed, leading to enhanced denoising performance.
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