IEEE Access, 2019 A method combined ensemble empirical mode decomposition, Volterra model and decision acyclic graph support vector machine was proposed to improve adaptability, feature resolution, and identification accuracy when diagnosing mechanical faults in an on ...
Yuqin Xu +4 more
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The Linearly Independent Non Orthogonal yet Energy Preserving (LINOEP) vectors [PDF]
, 2014 It is well known that, in any inner product space, a set of linearly independent (LI) vectors can be transformed to a set of orthogonal vectors, spanning the same space, by the Gram-Schmidt Orthogonalization Method (GSOM).
Joshi, S. D. +3 more
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Complexity, 2018 The problems of mode mixing, mode splitting, and pseudocomponents caused by intermittence or white noise signals during empirical mode decomposition (EMD) are difficult to resolve. The partly ensemble EMD (PEEMD) method is introduced first. The PEEMD method can eliminate mode mixing via the permutation entropy (PE) of the intrinsic mode functions (IMFs)
Bin Liu 0033 +3 more
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Denoising in Biomedical signals using Ensemble Empirical Mode Decomposition
IOSR Journal of Electronics and Communication Engineering, 2014 In this paper a novel Ensemble Empirical Mode decomposition (EEMD) and adaptive filtering is proposed to filter out Gaussian noise and contact noise contained in raw biomedical signals. Real Biomedical signals from the MIT-BIH database are used to validate the performance of the proposed method.
Megha Agarwal, Richa Priyadarshani
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Fault Feature Extraction Method for Rolling Bearings Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Variational Mode Decomposition. [PDF]
Sensors (Basel), 2023 Wang L, Li H, Xi T, Wei S.
europepmc +1 more source
A Hybrid Model for Coronavirus Disease 2019 Forecasting Based on Ensemble Empirical Mode Decomposition and Deep Learning. [PDF]
Int J Environ Res Public Health, 2022 Liu S +5 more
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Non-invasive monitoring of cardiac function through Ballistocardiogram: an algorithm integrating short-time Fourier transform and ensemble empirical mode decomposition. [PDF]
Front Physiol, 2023 Feng J +6 more
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Ensemble All Time-Scale Decomposition Method and Its Application in Bevel Gear Fault Diagnosis
SensorsAll time-scale decomposition (ATD) is a non-parametric adaptive signal decomposition method, which relies on zero-crossing points and extreme points to jointly construct the baseline, achieving the suppression of modal mixing caused by the proximity of ...
Zhengyang Cheng +4 more
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Bearing Fault Diagnosis Using Piecewise Aggregate Approximation and Complete Ensemble Empirical Mode Decomposition with Adaptive Noise. [PDF]
Sensors (Basel), 2022 Hu L, Wang L, Chen Y, Hu N, Jiang Y.
europepmc +1 more source
Occipital and left temporal instantaneous amplitude and frequency oscillations correlated with access and phenomenal consciousness [PDF]
Given the hard problem of consciousness (Chalmers, 1995) there are no brain electrophysiological correlates of the subjective experience (the felt quality of redness or the redness of red, the experience of dark and light, the quality of depth in a ...
Pereira, Vitor Manuel Dinis
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