Development of EMD-based denoising methods inspired by wavelet thresholding

Yannis Kopsinis, Stephen McLaughlin

Research output: Contribution to journalArticlepeer-review

641 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)1351-1362
Number of pages12
JournalIEEE Transactions on Signal Processing
Issue number4
Publication statusPublished - Apr 2009


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