Results 31 to 40 of about 6,622 (258)
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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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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Introducing libeemd: a program package for performing the ensemble empirical mode decomposition [PDF]
Computational Statistics, 2015 The final publication is available at Springer via https://dx.doi.org/10.1007/s00180-015-0603 ...
P. J. J. Luukko +2 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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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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