Results 31 to 40 of about 5,207,763 (284)
, 2013 In this paper a new adaptive audio watermarking algorithm based on Empirical Mode Decomposition (EMD) is introduced. The audio signal is divided into frames and each one is decomposed adaptively, by EMD, into intrinsic oscillatory components called ...
KHALDI, Kais, BOUDRAA, Abdel-Ouahab
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A human ECG identification system based on ensemble empirical mode decomposition. [PDF]
Sensors (Basel), 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.
Zhao Z, Yang L, Chen D, Luo Y.
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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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Electroencephalogram Denoising Method Combining Improved CEEMD and Approximate Entropy [PDF]
Jisuanji gongcheng, 2017 Aiming at the problem of modal selection bias in Complete Ensemble Empirical Mode Decomposition(CEEMD),this paper proposes a new Electroencephalogram(EEG) signal denoising method by combining improved CEEMD(ICEEMD).First,the EEG signal is decomposed to ...
ZHANG Huan,LIU Yan,TONG Baotong,ZHAO Lingxiao,YANG Yingxue,WANG Yuping,DAI Yakang
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Remote Sensing, 2023 Aiming at the problem of mutual interference between millimeter-wave frequency-modulation continuous-wave (FMCW) radars, an interference mitigation method based on outlier detection and variational mode decomposition (VMD) is proposed in this paper ...
Wen Zhou +5 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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Zhongguo dianli, 2020 With the continuous development of power industry, the importance of load forecasting is becoming more and more obvious. As an important part of load forecasting, short-term load forecasting is of great significance to the dispatching and operation of ...
Huiru ZHAO, Yihang ZHAO, Sen GUO
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Morphological Filter-Assisted Ensemble Empirical Mode Decomposition [PDF]
Mathematical Problems in Engineering, 2018 In the ensemble empirical mode decomposition (EEMD) algorithm, different realizations of white noise are added to the original signal as dyadic filter banks to overcome the mode mixing problems of empirical mode decomposition (EMD). However, not all the components in white noise are necessary, and the superfluous components will introduce additional ...
Xiaohang Zhou, Deshan Shan, Qiao Li
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Ensemble empirical mode decomposition for tree-ring climate reconstructions [PDF]
, 2012 A novel data adaptive method named ensemble empirical mode decomposition (EEMD) was used to reconstruct past temperature and precipitation variability in two 2,328- and 1,837-year tree-ring chronologies from the Dulan region, northeastern Qinghai–Tibetan
Qin, Chun +4 more
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