ensemble empirical mode decomposition
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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A Fault Diagnosis Method for Automaton Based on Morphological Component Analysis and Ensemble Empirical Mode Decomposition
... In the fault diagnosis of automaton, the vibration signal presents non-stationary and non-periodic, which make it difficult to extract the fault features. To solve this problem, an automaton fault diagnosis method based ...
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Fast ensemble empirical mode decomposition model for forecasting crude oil and condensates
... of decomposition and ensemble procedure of a model, especially through trial-and-error process with too many steps to follow in a forecasting method, we are suggesting the Fast Ensemble ...
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NOVEL APPROACH FOR FINDING PITCH MARKERS IN SPEECH SIGNAL USING ENSEMBLE EMPIRICAL MODE DECOMPOSITION
... the Ensemble Empirical Mode Decomposition (EEMD) ...an ensemble mean for a non-stationary data as the final ...the ensemble approaching ...the ensemble, N, has to be ...
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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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Periodogram and Ensemble Empirical Mode Decomposition Analysis of Electromyography Processing
... of Ensemble Empirical Mode Decomposition (EEMD) and the parametric and non- parametric time-frequency techniques are presented in section ...
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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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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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Extractions of steady-state auditory evoked fields in normal subjects and tinnitus patients using complementary ensemble empirical mode decomposition
... Methods: The CEEMD utilizes noise assisted data analysis (NADA) approach by adding positive and negative noise to decompose MEG signals into complementary intrinsic mode functions (IMF). Ten subjects (five normal ...
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UWB-Radar-Sensed Human Respiratory Signal Modeling Based on the Morphological Method
... on Ensemble Empirical Mode Decomposition (EEMD) method has a better performance than that based on Adaptive Line Enhancer (ALE) and with the value of the digit in the structure element ...
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An Empirical Study of Techniques and various Domains in Data mining for efficient approach in various fields
... The rest of the paper is organized as follows. The feature extraction from voice samples, using Improved Complete Ensemble Empirical Mode Decomposition Technique (ICEEMD) and Hilbert transform ...
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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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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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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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Short-Range Vital Signs Sensing Based on EEMD and CWT Using IR-UWB Radar
... Significant research has been performed on noncontact monitoring of vital signs through IR- UWB radar systems from various aspects [20-26]. In [23] the mathematical modelling of the received waveforms was presented ...
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Hyperspectral Image Classification For Based BEMD Multivariate Gray Module
... intrinsic mode functions IMFs motivated by the ordinary differential ...directional empirical mode decomposition which takes directional quality into account and extracts four features for ...
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Arrival Time Difference Estimation of Ultrasonic Signals from Partial Discharge in Electric Power Equipments
... non-adaptation. Empirical Mode Decomposition, referred to as EMD, Denoising is a data-driven, adaptive denoising method that does not require a basis ...overall empirical mode ...
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Analysis of Empirical Mode Decomposition Method of Heart Rate Extraction from Motion Artifact Corrupted PPG Signal
... combines ensemble empirical mode decomposition (EEMD) with spectrum subtraction ...(SS). Ensemble Empirical Mode Decomposition decomposes a PPG signal and ...
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