Results 31 to 40 of about 50,188 (187)

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

Ensemble-Empirical-Mode-Decomposition based micro-Doppler signal separation and classification [PDF]

, 2015
The target echo signals obtained by Synthetic Aperture Radar (SAR) and Ground Moving Target Indicator (GMTI platforms are mainly composed of two parts, the micro-Doppler signal and the target body part signal.
Eoin Clancy (794020), Helena Kelly (794018), Kate Reddington (211385), Michael J. Kerin (114334), Nina L. Tuite (794019), Róisín M. Dwyer (5665126), Terry J. Smith (326857), Thomas Barry (211404), Tim Downing (5009993)   +8 more
core   +5 more sources

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, Jouni Helske, Eero Räsänen   +2 more
openaire   +5 more sources

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

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
openaire   +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

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

Bolt Detection Signal Analysis Method Based on ICEEMD

, 2018
The construction quality of the bolt is directly related to the safety of the project, and as such, it must be tested. In this paper, the improved complete ensemble empirical mode decomposition (ICEEMD) method is introduced to the bolt detection signal ...
Guo, Chunhui, Xie, Xin, Yang, Zhengyu, Zhang, Zhan   +3 more
core   +2 more sources