Results 51 to 60 of about 5,122,568 (192)

Inspection of Methods of Empirical Mode Decomposition

5th International Conference on Computer Science, Information Technology (CSITEC 2019), 2019
11 pages, 6 figures.
Santander, Roberto Hernández, Casallas, Esperanza Camargo   +1 more
openaire   +2 more sources

Trend filtering via empirical mode decompositions [PDF]

Computational Statistics & Data Analysis, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Moghtaderi, Azadeh, Flandrin, Patrick, Borgnat, Pierre   +2 more
openaire   +3 more sources

Application of empirical mode decomposition in improving group method of data handling

, 2023
The accuracy of electricity load demand forecasting is essential for avoiding energy waste and overuse. Hence, this paper aims to model the forecast electricity load demand by combining Empirical Mode Decomposition (EMD) with Group Method of Data ...
Shabri, Ani, Razif, Nur Rafiqah Abdul
core   +1 more source

Detection of stretch reflex onset based on empirical mode decomposition and modified sample entropy

BMC Biomedical Engineering, 2019
Background Accurate spasticity assessment provides an objective evaluation index for the rehabilitation treatment of patients with spasticity, and the key is detecting stretch reflex onset.
Mingjia Du, Baohua Hu, Feiyun Xiao, Ming Wu, Zongjun Zhu, Yong Wang   +5 more
doaj   +1 more source

Complementary ensemble adaptive sparsest narrow-band decomposition method and its applications to the gear crack fault diagnosis

Advances in Mechanical Engineering, 2020
Adaptive sparsest narrow-band decomposition is the most sparse solution to search for signals in the over-complete dictionary library containing intrinsic mode functions, which transform the signal decomposition into an optimization problem, but the ...
Yanfeng Peng, Junhang Chen, Ruiqiong Luo, Xiaojun Xie, Xianyu Zhu, Yanfei Liu, QingHua Lu, Kuanfang He   +7 more
doaj   +1 more source

Hybrid Empirical and Variational Mode Decomposition of Vibratory Signals

Algorithms
Signal analysis is a fundamental field in engineering and data science, focused on the study of signal representation, transformation, and manipulation. The accurate estimation of harmonic vibration components and their associated parameters in vibrating
Eduardo Esquivel-Cruz, Francisco Beltran-Carbajal, Ivan Rivas-Cambero, José Humberto Arroyo-Núñez, Ruben Tapia-Olvera, Daniel Guillen   +5 more
doaj   +1 more source

Codage des signaux par EMD [PDF]

, 2012
In this letter a new signals coding framework based on the Empirical Mode Decomposition (EMD) is introduced. The EMD breaks down any signal into a reduced number of oscillating components called Intrinsic Modes Decomposition (IMFs).
KHALDI, Kais, Boudraa, Abdelouahab, BOUDRAA, Abdel-Ouahab   +2 more
core   +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

On the Use of Ensemble Empirical Mode Decomposition for the Identification of Bridge Frequency from the Responses Measured in a Passing Vehicle

Infrastructures, 2019
In this paper, ensemble empirical mode decomposition (EEMD) and empirical mode decomposition (EMD) methods are used for the effective identification of bridge natural frequencies from drive-by measurements.
Licheng Zhu, Abdollah Malekjafarian
doaj   +1 more source

Signal denoising based on empirical mode decomposition [PDF]

, 2017
The present paper discusses the empirical mode decomposition technique relative to signal denoising, which is often included in signal preprocessing. We provide some basics of the empirical mode decomposition and introduce intrinsic mode functions with ...
Kupriyanov, Mikhail, Dmitry Klionskiy, Mikhail Kupriyanov, Dmitry Kaplun, Klionskiy, Dmitry, Kaplun, Dmitry   +5 more
core   +1 more source