Entropic Empirical Mode Decomposition

2015/07/11 by Sumit Kumar Ram, Ram, Sumit Kumar, Marta Molinas +1
Chemistry · Engineering · #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Fault Diagnosis Techniques #Methodology (stat.ME) #Spectroscopy and Chemometric Analyses

paper · pdf · doi:10.48550/arxiv.1507.03157

openalex publication_date 2015/07/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Empirical Mode Decomposition(EMD) is an adaptive data analysis technique for analyzing nonlinear and nonstationary data[1]. EMD decomposes the original data into a number of Intrinsic Mode Functions(IMFs)[1] for giving better physical insight of the data. Permutation Entropy(PE) is a complexity measure[3] function which is widely used in the field of complexity theory for analyzing the local complexity of time series. In this paper we are combining the concepts of PE and EMD to resolve the mode mixing problem observed in determination of IMFs.

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