Results 21 to 30 of about 50,188 (187)
Filtering of surface EMG using ensemble empirical mode decomposition [PDF]
Medical Engineering & Physics, 2012 Surface electromyogram (EMG) is often corrupted by three types of noises, i.e. power line interference (PLI), white Gaussian noise (WGN), and baseline wandering (BW). A novel framework based primarily on empirical mode decomposition (EMD) was developed to reduce all the three noise contaminations from surface EMG.
Xu, Zhang, Ping, Zhou
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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
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Performance evaluation of the Hilbert–Huang transform for respiratory sound analysis and its application to continuous adventitious sound characterization [PDF]
, 2016 © 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/The use of the Hilbert–Huang transform in the analysis of biomedical signals has increased during the past few years, but
Fiz Fernández, José Antonio +2 more
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A Human ECG Identification System Based on Ensemble Empirical Mode Decomposition [PDF]
Sensors, 2013 In this paper, a human electrocardiogram (ECG) identification system based on ensemble empirical mode decomposition (EEMD) is designed. A robust preprocessing method comprising noise elimination, heartbeat normalization and quality measurement is proposed to eliminate the effects of noise and heart rate variability.
Zhidong Zhao +3 more
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An improved genetic algorithm for optimizing ensemble empirical mode decomposition method
Systems Science & Control Engineering, 2019 This paper proposes an improved ensemble empirical mode decomposition method based on genetic algorithm to solve the mode mixing problem in empirical mode decomposition (EMD) algorithm as well as the parameters selection issue in ensemble empirical mode ...
Dabin Zhang +3 more
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Trends and Spatial Patterns of Drought Affected Area in Southern South America [PDF]
, 2014 Based on 56 rainfall stations, which cover the period 1961–2008, we analyzed the presence of trends in the drought-affected area over southern South America (SSA) at different time scales.
Penalba, Olga Clorinda +1 more
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Spectral proper orthogonal decomposition and its relationship to dynamic mode decomposition and resolvent analysis [PDF]
, 2018 We consider the frequency domain form of proper orthogonal decomposition (POD) called spectral proper orthogonal decomposition (SPOD). Spectral POD is derived from a space-time POD problem for statistically stationary flows and leads to modes that each ...
Colonius, Tim +2 more
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Improved Ensemble Empirical Mode Decomposition and Its Application [PDF]
Proceedings of The 5th International Conference on Computer Engineering and Networks — PoS(CENet2015), 2015 A white noise parameter and a number of ensembles for EEMD adaptively obtained method (Adaptive Ensemble Empirical Mode Decomposition, AEEMD) is proposed to tackle the problem that the EEMD parameters are inaccurately chosen by the people’s experience.
Xuze Lin +3 more
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Discrete Dynamics in Nature and Society, 2020 In this study, we focus our attention on the forecasting of daily PM2.5 concentrations. According to the principle of “divide and conquer,” we propose a novel decomposition ensemble learning approach by integrating ensemble empirical mode decomposition ...
Guangyuan Xing, Shaolong Sun, Jue Guo
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Weak Signal Enhance Based on the Neural Network Assisted Empirical Mode Decomposition
Sensors, 2020 In order to enhance weak signals in strong noise background, a weak signal enhancement method based on EMDNN (neural network-assisted empirical mode decomposition) is proposed.
Kai Chen +3 more
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