Results 241 to 250 of about 6,622 (258)

Ensemble empirical mode decomposition for high frequency ECG noise reduction

Biomedizinische Technik/Biomedical Engineering, 2010
An electrocardiogram (ECG) is measured from the body surface and is often corrupted by various noises, such as high-frequency muscle contraction. Recently, empirical mode decomposition (EMD), a well-known analysis technique for nonlinear and non-stationary signals, has been employed for the purpose of ECG noise reduction. In this study, a modified EMD,
openaire   +2 more sources

Ensemble empirical mode decomposition based ECG noise filtering method

2010 International Conference on Machine Learning and Cybernetics, 2010
Electrocardiogram is often corrupted by various noises, such as high-frequency muscle contraction. In this study, ensemble empirical mode decomposition (EEMD) was used for ECG noise reduction. Gaussian noise was applied and the average (ensemble) intrinsic mode function (IMF) was used for ECG reconstruction.
openaire   +1 more source

Fault Feature Extraction of Gearboxes Using Ensemble Empirical Mode Decomposition

2011
The paper employs ensemble empirical mode decomposition (EEMD) to extract the fault information from the signal collected from a defective gearbox. In view of the shortcoming of the mode mixing which empirical mode decomposition (EMD) fails to overcome, the EEMD method is used to decompose the signal captured from the defective gearbox and successfully
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Ensemble empirical mode decomposition and long short-term memory neural network for multi-step predictions of time series signals in nuclear power plants

Applied Energy, 2021
Hoang-Phuong Nguyen, Piero Baraldi, Enrico Zio   +2 more
exaly  

Hardware architecture design for complementary ensemble empirical mode decomposition algorithm

Integration, 2023
Kaushik Das, Sambhu Nath Pradhan
openaire   +1 more source

COMPLEMENTARY ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOVEL NOISE ENHANCED DATA ANALYSIS METHOD

Advances in Adaptive Data Analysis, 2010
Jiann-Shing Shieh, Norden E Huang
exaly  

Data decomposition method combining permutation entropy and spectral substitution with ensemble empirical mode decomposition

Measurement: Journal of the International Measurement Confederation, 2019
Shengxiang Huang, Chenfeng Li
exaly  

Ensemble empirical mode decomposition-entropy and feature selection for pantograph fault diagnosis

JVC/Journal of Vibration and Control, 2020
Ying Shi, Cai Yi
exaly  

Empirical Mode Decomposition based ensemble deep learning for load demand time series forecasting

Applied Soft Computing Journal, 2017
Ye Ren, Ponnuthurai Nagaratnam Suganthan, Gehan A J Amaratunga   +2 more
exaly  

An adaptively fast ensemble empirical mode decomposition method and its applications to rolling element bearing fault diagnosis

Mechanical Systems and Signal Processing, 2015
Xiaoming Xue, Jianzhong Zhou, Yanhe Xu   +2 more
exaly