Results 11 to 20 of about 5,207,763 (284)

An effective electrocardiogram segments denoising method combined with ensemble empirical mode decomposition, empirical mode decomposition, and wavelet packet

IET Signal Processing, 2023
Electrocardiogram (ECG) is the most extensively applied diagnostic approach for heart diseases. However, an ECG signal is a weak bioelectrical signal and is easily disturbed by baseline wander, powerline interference, and muscle artefacts, which make ...
Yaru Yue, Chengdong Chen, Xiaoyuan Wu, Xiaoguang Zhou   +3 more
doaj   +2 more sources

A pixel-level entropy-weighted image fusion algorithm based on bidimensional ensemble empirical mode decomposition

International Journal of Distributed Sensor Networks, 2018
The bidimensional empirical mode decomposition algorithm is more suitable to handle image fusion than the traditional multi-scale decomposition methods in the image fusion area.
Pei Wang, Hui Fu, Ke Zhang
doaj   +2 more sources

PERFORMANCE EVALUATION OF ENSEMBLE EMPIRICAL MODE DECOMPOSITION

Advances in Adaptive Data Analysis, 2009
Empirical mode decomposition (EMD) is an adaptive, data-driven algorithm that decomposes any time series into its intrinsic modes of oscillation, which can then be used in the calculation of the instantaneous phase and frequency. Ensemble EMD (EEMD), where the final EMD is estimated by averaging numerous EMD runs with the addition of noise, was an ...
Rami K. Niazy, Christian F. Beckmann, J. Michael Brady, Stephen M. Smith 0001   +3 more
openaire   +4 more sources

Cardiogenic oscillations extraction in inductive plethysmography: Ensemble empirical mode decomposition

2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009
The purpose of this study is to investigate the potential of the ensemble empirical mode decomposition (EEMD) to extract cardiogenic oscillations from inductive plethysmography signals in order to measure cardiac stroke volume. First, a simple cardio-respiratory model is used to simulate cardiac, respiratory, and cardio-respiratory signals.
Abdulhay, Enas, Guméry, Pierre-Yves, Fontecave Jallon, Julie, Baconnier, Pierre   +3 more
openaire   +4 more sources

Correction of blink artifacts using independent component analysis and empirical mode decomposition. [PDF]

Blink-related ocular activity is a major source of artifacts in electroencephalogram (EEG) data. Independent component analysis (ICA) is a well-known technique for the correction of such ocular artifacts, but one of the limitations of ICA is that the ICs
Bhattacharya, Joydeep, Lindsen, Job P.
core   +8 more sources

Signature extraction from the dynamic responses of a bridge subjected to a moving vehicle using complete ensemble empirical mode decomposition

Journal of Low Frequency Noise, Vibration and Active Control, 2021
Technology that measures bridge responses when a vehicle is crossing over it for structural health monitoring has been under development for approximately a decade.
Feng Xiao, Gang S Chen, Wael Zatar, J Leroy Hulsey   +3 more
doaj   +1 more source

A New Forecasting Approach for Oil Price Using the Recursive Decomposition–Reconstruction–Ensemble Method with Complexity Traits

Entropy, 2023
The subject of oil price forecasting has obtained an incredible amount of interest from academics and policymakers in recent years due to the widespread impact that it has on various economic fields and markets.
Fang Wang, Menggang Li, Ruopeng Wang
doaj   +1 more source

Malware detection in the cloud under Ensemble Empirical Mode Decomposition [PDF]

2015 International Conference on Computing, Networking and Communications (ICNC), 2015
Cloud networks underpin most of todays’ socioeconomical\ud Information Communication Technology (ICT) environments\ud due to their intrinsic capabilities such as elasticity and\ud service transparency. Undoubtedly, this increased dependence of numerous always-on services with the cloud is also subject to a number of security threats.
Angelos K. Marnerides, Petros Spachos, Periklis Chatzimisios, Andreas U. Mauthe   +3 more
openaire   +2 more sources

Complementary ensemble adaptive sparsest narrow-band decomposition method and its applications to the gear crack fault diagnosis

Advances in Mechanical Engineering, 2020
Adaptive sparsest narrow-band decomposition is the most sparse solution to search for signals in the over-complete dictionary library containing intrinsic mode functions, which transform the signal decomposition into an optimization problem, but the ...
Yanfeng Peng, Junhang Chen, Ruiqiong Luo, Xiaojun Xie, Xianyu Zhu, Yanfei Liu, QingHua Lu, Kuanfang He   +7 more
doaj   +1 more source

Parallel implementation of Multi-dimensional Ensemble Empirical Mode Decomposition [PDF]

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
In this paper, we propose and evaluate two parallel implementations of Multi-dimensional Ensemble Empirical Mode Decomposition (MEEMD) for multi-core (CPU) and many-core (GPU) architectures. Relative to a sequential C implementation, our double precision GPU implementation, using the CUDA programming model, achieves up to 48.6x speedup on NVIDIA Tesla ...
Li-Wen Chang, Men-Tzung Lo, Nasser Anssari, Ke-Hsin Hsu, Norden E. Huang, Wen-mei W. Hwu   +5 more
openaire   +2 more sources