MEMD-Based Filtering Using Interval Thresholding and Similarity Measure between Pdf of IMFs

Huan HAO; Huali WANG; Weijun ZENG; Hui TIAN

doi:10.1587/transfun.E99.A.643

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

Online ISSN : 1745-1337
Print ISSN : 0916-8508

Regular Section

MEMD-Based Filtering Using Interval Thresholding and Similarity Measure between Pdf of IMFs

Huan HAO, Huali WANG, Weijun ZENG, Hui TIAN

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Keywords: multivariate empirical mode decomposition (MEMD), interval thresholding, probability density functions

JOURNAL RESTRICTED ACCESS

2016 Volume E99.A Issue 2 Pages 643-646

DOI https://doi.org/10.1587/transfun.E99.A.643

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Abstract

This paper presents a novel MEMD interval thresholding denoising, where relevant modes are selected by the similarity measure between the probability density functions of the input and that of each mode. Simulation and measured EEG data processing results show that the proposed scheme achieves better performance than other traditional denoisings.

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