Results 131 to 140 of about 49,831 (187)

An approach using ensemble empirical mode decomposition to remove noise from prototypical observations on dam safety. [PDF]

Springerplus, 2016
Su H, Li H, Chen Z, Wen Z.
europepmc   +1 more source

Common Methodology for Cardiac and Ocular Artifact Suppression from EEG Recordings by Combining Ensemble Empirical Mode Decomposition with Regression Approach. [PDF]

J Med Biol Eng, 2017
Patel R, Gireesan K, Sengottuvel S, Janawadkar MP, Radhakrishnan TS.   +4 more
europepmc   +1 more source

A Novel Hybrid Data-Driven Model for Daily Land Surface Temperature Forecasting Using Long Short-Term Memory Neural Network Based on Ensemble Empirical Mode Decomposition. [PDF]

Int J Environ Res Public Health, 2018
Zhang X, Zhang Q, Zhang G, Nie Z, Gui Z, Que H.   +5 more
europepmc   +1 more source

Comparative analysis of signal decomposition methods for regional sea level trend estimation: a case study of the Korean peninsula. [PDF]

Sci Rep
Kim YJ, Kang H, Song HS, Kim JH, Kwon O.
europepmc   +1 more source

Nickel price forecasting based onempirical mode decomposition and deep learning model with expansion mechanism. [PDF]

PLoS One
Li J, Yu Z, Zhang J, Meng W.
europepmc   +1 more source

Decomposition prediction and optimal ensemble strategy improve river dissolved oxygen prediction accuracy. [PDF]

Sci Rep
Xie Y, Rao Y, Wan J, Huang Q, Lai Q, Lu X, Liu J.   +6 more
europepmc   +1 more source

Lobe-wise cognitive load detection using empirical Fourier decomposition and optimized machine learning. [PDF]

Front Physiol
Chervitha K, Sharma LD.
europepmc   +1 more source

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Median ensemble empirical mode decomposition

Signal Processing, 2020
Abstract Ensemble empirical mode decomposition (EEMD) belongs to a class of noise-assisted EMD methods that are aimed at alleviating mode mixing caused by noise and signal intermittency. In this work, we propose a median ensembled version of EEMD (MEEMD) to help reduce the additional mode splitting problem of the original EEMD algorithm.
Xun Lang, Naveed ur Rehman, Yufeng Zhang, Lei Xie, Hongye Su   +4 more
openaire   +3 more sources

Performance enhancement of ensemble empirical mode decomposition

Mechanical Systems and Signal Processing, 2010
Ensemble empirical mode decomposition (EEMD) is a newly developed method aimed at eliminating mode mixing present in the original empirical mode decomposition (EMD). To evaluate the performance of this new method, this paper investigates the effect of two parameters pertinent to EEMD: the amplitude of added white noise and the number of ensemble trials.
Jian Zhang, Ruqiang Yan, Robert X. Gao, Zhihua Feng   +3 more
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THE MULTI-DIMENSIONAL ENSEMBLE EMPIRICAL MODE DECOMPOSITION METHOD

Advances in Adaptive Data Analysis, 2009
A multi-dimensional ensemble empirical mode decomposition (MEEMD) for multi-dimensional data (such as images or solid with variable density) is proposed here. The decomposition is based on the applications of ensemble empirical mode decomposition (EEMD) to slices of data in each and every dimension involved.
ZHAOHUA WU, NORDEN E. HUANG, XIANYAO CHEN   +2 more
openaire   +3 more sources