Results 191 to 200 of about 1,862 (208)

Improvement of the Ensemble Empirical Mode Decomposition with Parallel Computing

2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), 2019
In this paper we propose a novel approach to increase a processing speed of the Ensemble Empirical Mode Decomposition algorithm and its Complementary version with usage of parallel computations. It is shown that this computational scheme is effective and leads to a significant increase in processing speed up to approximately 4.1 times with 8 parallel ...
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TREND EXTRACTION FOR SEASONAL TIME SERIES USING ENSEMBLE EMPIRICAL MODE DECOMPOSITION

Advances in Adaptive Data Analysis, 2011
In this paper, we investigate eligibility of trend extraction through the empirical mode decomposition (EMD) and performance improvement of applying the ensemble EMD (EEMD) instead of the EMD for trend extraction from seasonal time series. The proposed method is an approach that can be applied on any time series with any time scales fluctuations.
Mhamdi, Farouk, Poggi, Jean-Michel, Jaidane, Mériem   +2 more
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GPGPU-Aided Ensemble Empirical-Mode Decomposition for EEG Analysis During Anesthesia

IEEE Transactions on Information Technology in Biomedicine, 2010
Ensemble empirical-mode decomposition (EEMD) is a novel adaptive time-frequency analysis method, which is particularly suitable for extracting useful information from noisy nonlinear or nonstationary data. Unfortunately, since the EEMD is highly compute-intensive, the method does not apply in real-time applications on top of commercial-off-the-shelf ...
Dan Chen 0001, Duan Li 0001, Muzhou Xiong, Hong Bao, Xiaoli Li 0002   +4 more
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.
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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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A Novel Decomposition-Ensemble Learning Model Based on Ensemble Empirical Mode Decomposition and Recurrent Neural Network for Landslide Displacement Prediction

Applied Sciences (Switzerland), 2021
Junwei Ma, Huiming Tang, Yankun Wang
exaly  

Hardware architecture design for complementary ensemble empirical mode decomposition algorithm

Integration, 2023
Kaushik Das, Sambhu Nath Pradhan
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Structural damage detection method based on the complete ensemble empirical mode decomposition with adaptive noise: a model steel truss bridge case study

Structural Health Monitoring, 2022
Sami Masri, Chunwei Zhang, Gholamreza Gholipour   +2 more
exaly  

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

Advances in Adaptive Data Analysis, 2010
Jia-Rong Yeh, Jiann-Shing Shieh
exaly  

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

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