Ensemble Empirical Mode Decomposition (EEMD)
Fast ensemble empirical mode decomposition model for forecasting crude oil and condensates
... the decomposition and ensemble method, most previous literature implemented the hybridization of decomposition and ensemble methods for forecasting oil prices ...of Ensemble ...
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Periodogram and Ensemble Empirical Mode Decomposition Analysis of Electromyography Processing
... and Empirical mode decomposition ...of mode-mixing ...the Ensemble Empirical Mode Decomposition (EEMD) is proposed by Wu and Huang ...
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Partial discharge feature extraction based on ensemble empirical mode decomposition and sample entropy
... study, Ensemble Empirical Mode Decomposition (EEMD) and Sample Entropy (SamEn) are combined for PD feature ...signal decomposition without mode-mixing or virtual ...
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A Fault Diagnosis Method for Automaton based on Morphological Component Analysis and Ensemble Empirical Mode Decomposition
... 2. Ensemble Empirical Mode Decomposition (EEMD) In the original EMD, the IMF components contain very different feature time scales or similar feature time scales distributed in different IMF ...
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NOVEL APPROACH FOR FINDING PITCH MARKERS IN SPEECH SIGNAL USING ENSEMBLE EMPIRICAL MODE DECOMPOSITION
... The mode mixing is perhaps the major drawback of the original ...called Ensemble Empirical Mode Decomposition (EEMD), largely alleviates the mode mixing ...
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A Fault Diagnosis Method for Automaton Based on Morphological Component Analysis and Ensemble Empirical Mode Decomposition
... 2. Ensemble Empirical Mode Decomposition (EEMD) In the original EMD, the IMF components contain very different feature time scales or similar feature time scales distributed in different IMF ...
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A Novel Method to Estimate Yaw Rate Based on Ensemble Empirical Mode Decomposition
... on ensemble empirical mode decomposition (EEMD) is designed to de-noise the rough yaw rate in order to improve the accuracy of yaw rate ...
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Gearbox fault diagnosis under different operating conditions based on time synchronous average and ensemble empirical mode decomposition
... combining ensemble empirical mode decomposition (EEMD) with order tracking techniques to analyse the vibration signals from a two stage helical ...
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Evaluation of Detrending Method Based on Ensemble Empirical Mode Decomposition for HRV Analysis
... analysis. Ensemble empirical mode decomposition (EEMD), which offers the ability to break down signals into a set of intrinsic mode functions and acts as a high-pass filter through ...
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Instantaneous phase difference analysis between thoracic and abdominal movement signals based on complementary ensemble empirical mode decomposition
... complementary ensemble empirical mode decomposition for estimating the instantaneous phase relation between measured thoracic wall movement and abdominal wall ...
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Extractions of steady-state auditory evoked fields in normal subjects and tinnitus patients using complementary ensemble empirical mode decomposition
... It has been understood that noise assisted data analysis (NADA) is an effective way to eliminate mode mixing in EMD-based approaches. By adding noise to perturb the signal in a true solution neighborhood, the ...
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Short-Range Vital Signs Sensing Based on EEMD and CWT Using IR-UWB Radar
... improved ensemble empirical mode decomposition (EEMD) and a vital sign separation method based on the continuous-wavelet transform (CWT) are proposed jointly to improve the signal-to- noise ...
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Ultrasonic Imaging of Concrete by Synthetic Aperture Focusing Technique Based on Hilbert Huang Transform of Time Domain Data
... on Ensemble Empirical Mode Decomposition (EEMD), was used as a signal processing tool for interpreting and analyzing the ultrasonic waveforms taken from a concrete specimen with an embedded ...
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An Empirical Study of Techniques and various Domains in Data mining for efficient approach in various fields
... complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) [12] proved to be an important improvement on EEMD, achieving a negligible reconstruction error and solving the ...
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Short-Range Vital Signs Sensing Based on EEMD and CWT Using IR-UWB Radar
... Since the 21st century, significant research has been performed on noncontact monitoring of vital signs of a subject through IR-UWB radar systems [19-26]. In [23] the mathematical modelling of the received waveforms was ...
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UWB-Radar-Sensed Human Respiratory Signal Modeling Based on the Morphological Method
... Adaptive Line Enhancer (ALE) and Ensemble Empirical Mode Decomposition (EEMD) are two up- to-date human target detection methods based on the UWB radar. Now that the proposed modeling method ...
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Research on Analysis of Aircraft Echo Characteristics and Classification of Targets in Low-Resolution Radars Based on EEMD
... targets. Ensemble empirical mode decomposition (EEMD) [19] is a noise-assisted data analysis method proposed aiming at the shortcomings of empirical mode decomposition ...
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Broadband Signal Noise Reduction by Various Techniques
... Ensemble empirical mode decomposition (EEMD) has been used to recover a signal from observed noisy ...intrinsic mode functions (IMFs). Ensemble EMD (EEMD), which defines the true ...
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Adaptive ECG Noise Removal Techniques EMD and EEMD
... The Empirical Mode Decomposition (EMD) and further Ensemble EMD is used for denoising of Electrocardiogram (ECG) signal and Ensemble Empirical Mode Decomposition ...
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Cognitive Radio Sensing Using Hilbert Huang Transform
... 2.3 Ensemble Empirical Mode Decomposition To overcome some of the shortcomings of EMD, noise assisted data analysis method (NADA) EEMD was incor- porated ...
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