Empirical Mode Decomposition (EMD)
Enhanced monopulse radar tracking using empirical mode decomposition
... EMD based real signal denoising is described in [3] and [4]. In our work we propose the use of an EMD filter to cancel interference signal that appears in the main beam look direction without adding any more constraints ...
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Noise-assisted multivariate empirical mode decomposition for multichannel EMG signals
... multivariate empirical mode decomposition (NA-MEMD) was also introduced by Rehman and ...the decomposition of the constructed signal, the remaining procedures are strictly followed by those of ...
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Adaptive Empirical Mode Decomposition for Bearing Fault Detection
... The bearing fault detection problems are generally concerned with algorithms and models in order to detect increased vibration amplitudes at the nominal frequencies. The envelope analysis is a well-known and easy method ...
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Instantaneous phase difference analysis between thoracic and abdominal movement signals based on complementary ensemble empirical mode decomposition
... an empirical mode decomposition (EMD)-based filter can adaptively filter noises without any phase ...ensemble empirical mode decomposition (CEEMD) and Lissajous figure analysis ...
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Feature Point Detection Utilizing the Empirical Mode Decomposition
... This paper introduces a novel contour-based method for detecting largely affine invariant interest or feature points. In the first step, image edges are detected by morphological operators, followed by edge thinning. In ...
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Evaluating Pavement Cracks with Bidimensional Empirical Mode Decomposition
... bidimensional empirical mode decomposition (BEMD) is the 2-D extension of the empirical mode decomposition (EMD), which is part of the Hilbert-Huang transform (HHT) developed by ...
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Optimal Signal Reconstruction Using the Empirical Mode Decomposition
... The empirical mode decomposition (EMD) was recently proposed as a new time-frequency analysis tool for nonstationary and nonlinear ...intrinsic mode functions ...
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Classification of EMG Signals using Empirical Mode Decomposition
... Discrimination of rehabilitation diseases based on electromyogram (EMG) signals is a hot topic among the biomedical society. Although many attempts have been made to obtain the informative features from the recorded EMG ...
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Ventricular Fibrillation Detection using Empirical Mode Decomposition and Approximate Entropy
... using empirical mode decomposition (EMD) and Approximate ...Intrinsic mode functions (IMFs) of each ECG signal is used to distinct between them by calculating their approximate ...
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Decomposition of 3D medical image based on Fast and Adaptive Bidimensional Empirical Mode Decomposition
... Bidimensional Empirical Mode Decomposition ...the Empirical Mode Decomposition (EMD), which can decompose non-linear and non-stationary signals into basis functions called the ...
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Noise-robust speech feature processing with empirical mode decomposition
... In this article, we study a feature post-processing tech- nique for noise-robust ASR based on the empirical mode decomposition (EMD) [8]. Through EMD, a fea- ture sequence (as a function of time) is ...
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Adaptive Digital Audio Watermarking Using Empirical Mode Decomposition
... on Empirical Mode Decomposition (EMD) is ...Intrinsic Mode Functions ...frequency mode stable under different attacks and preserving audio perceptual quality of the host ...
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Empirical mode decomposition analysis of random processes in the solar atmosphere
... the empirical mode decomposition (EMD) of the signal of interest into the basis derived directly from the data by iterative search- ing for the local time scale naturally appearing in the ...
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Periodogram and Ensemble Empirical Mode Decomposition Analysis of Electromyography Processing
... and Empirical mode decomposition ...of mode-mixing ...Ensemble Empirical Mode Decomposition (EEMD) is proposed by Wu and Huang ...
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EMG Signal Processing and Application Based on Empirical Mode Decomposition
... status. Empirical Mode Decomposition (EMD) based on hilbert-huang is a time frequency analysis method for non-linear and non-stationary signals like EMG signals, which has unique advantages and broad ...
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Evaluation of Empirical Mode Decomposition for Event-Related Potential Analysis
... Empirical Mode Decomposition (EMD) is a data driven method that has been used to analyse data from such diverse domains as meteorology and finance [16, ...EMD-based decomposition was first ...
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Multivariate Empirical Mode Decomposition for Quantifying Multivariate Phase Synchronization
... multivariate empirical mode decomposition (MEMD), for quantifying the phase synchrony between multiple time ...intrinsic mode functions ...from mode mixing ...complex empirical ...
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Univariate and Bivariate Empirical Mode Decomposition for Postural Stability Analysis
... compare empirical mode decomposition (EMD) and two new extended methods of EMD named complex empirical mode decomposition (complex-EMD) and bivariate empirical mode ...
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Empirical Mode Decomposition Method Based on Wavelet with Translation Invariance
... technique, empirical mode decomposition (EMD), has recently been more and more popular as a new tool for time-frequency analysis method ...intrinsic mode functions ...this decomposition ...
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Audio Watermarking Based on Empirical Mode Decomposition
... on Empirical mode decomposition is ...the empirical mode decomposition (EMD), frames are decomposed into set of intrinsic mode functions (IMF) and a final ...
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