Ensemble Empirical Mode Decomposition for Automated Denoising of Pulse Signals

Ensemble Empirical Mode Decomposition for Automated Denoising of Pulse Signals

Pulse signals are often corrupted by noise, compromising signal integrity for downstream analysis. This paper presents an automated denoising technique for pulse waveforms using ensemble empirical mode decomposition (EEMD). The EEMD algorithm decomposes the signal into intrinsic mode functions (IMFs...

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Bibliographic Details
Main Authors: Zhiyuan Li, Mingju Yao
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2024-01-01
Series:Tehnički Vjesnik
Subjects:
ensemble empirical mode decomposition
kurtosis detection
ranking entropy
signal denoising
weak laser pulse signal
Online Access:https://hrcak.srce.hr/file/457160

Internet

https://hrcak.srce.hr/file/457160

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