Results 31 to 40 of about 49,831 (187)

A New Decomposition Ensemble Learning Approach with Intelligent Optimization for PM2.5 Concentration Forecasting

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
doaj   +1 more source

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, Kai Xie, Chang Wen, Xin-Gong Tang   +3 more
doaj   +1 more source

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
doaj   +1 more source

Interference Mitigation Method for Millimeter-Wave Frequency-Modulation Continuous-Wave Radar Based on Outlier Detection and Variational Modal Decomposition

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, Xinhong Hao, Jin Yang, Lefan Duan, Qiuyan Yang, Jianqiu Wang   +5 more
doaj   +1 more source

Short-Term Load Forecasting Based on Complementary Ensemble Empirical Mode Decomposition and Long Short-Term Memory

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
doaj   +1 more source

Local ensemble transform Kalman filter, a fast non-stationary control law for adaptive optics on ELTs: theoretical aspects and first simulation results [PDF]

, 2014
We propose a new algorithm for an adaptive optics system control law, based on the Linear Quadratic Gaussian approach and a Kalman Filter adaptation with localizations.
Bertino, Laurent, Bocquet, Marc, Ferrari, Marc, Fusco, Thierry, Gray, Morgan, Petit, Cyril, Rodionov, Sergey   +6 more
core   +5 more sources

An adaptive denoising fault feature extraction method based on ensemble empirical mode decomposition and the correlation coefficient

Advances in Mechanical Engineering, 2017
Vibration signal processing is commonly used in the mechanical fault diagnosis. It contains abundant working status information. The vibration signal has some features such as non-linear and non-stationary. It has a lot of interference information. Fault
Huixiang Yang, Tengfei Ning, Bangcheng Zhang, Xiaojing Yin, Zhi Gao   +4 more
doaj   +1 more source

Noise Reduction Based on a CEEMD-WPT Crack Acoustic Emission Dataset

Applied Sciences, 2023
In order to solve the noise reduction problem of acoustic emission signals with cracks, a method combining Complementary Ensemble Empirical Mode Decomposition (CEEMD) and wavelet packet (WPT) is proposed and named CEEMD-WPT. Firstly, the single Empirical
Yongfeng Zhao, Yunrui Ma, Junli Du, Chaohua Wang, Dawei Xia, Weifeng Xin, Zhenyu Zhan, Runfeng Zhang, Jiangyi Chen   +8 more
doaj   +1 more source

Influence of Sampling Frequency Ratio on Mode Mixing Alleviation Performance: A Comparative Study of Four Noise-Assisted Empirical Mode Decomposition Algorithms

Machines, 2021
Four noise-assisted empirical mode decomposition (EMD) algorithms, i.e., ensemble EMD (EEMD), complementary ensemble EMD (CEEMD), complete ensemble EMD with adaptive noise (CEEMDAN), and improved complete ensemble EMD with adaptive noise (ICEEMDAN), are ...
Yanqing Zhao, Kondo H. Adjallah, Alexandre Sava, Zhouhang Wang   +3 more
doaj   +1 more source

Effects of hemodialysis therapy on sit-to-walk characteristics in end stage renal disease patients [PDF]

, 2012
Patients with end stage renal diseases (ESRD) undergoing hemodialysis (HD) have high morbidity and mortality due to multiple causes; one of which is dramatically higher fall rates than the general population.
Abdel-Rahman, Emaad, Lach, John, Lockhart, Thurmon, Soangra, Rahul   +3 more
core   +2 more sources