Intrinsic Localized Modes of a Classical Discrete Anisotropic Heisenberg Ferromagnetic Spin Chain
, 2014 We report several exact intrinsic localized mode solutions of the classical spin evolution equation of a one-dimensional anisotropic Heisenberg ferromagnetic spin chain in terms of Jacobian elliptic functions.
Lakshmanan, M. +2 more
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Empirical mode decomposition with missing values [PDF]
, 2016 This paper considers an improvement of empirical mode decomposition (EMD) in the presence of missing data. EMD has been widely used to decompose nonlinear and nonstationary signals into some components according to intrinsic frequency called intrinsic ...
Donghoh Kim, Hee-Seok Oh
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Multi-Fault Diagnosis of Gearbox Based on Improved Multipoint Optimal Minimum Entropy Deconvolution
Entropy, 2018 Under complicated conditions, the extraction of a multi-fault in gearboxes is difficult to achieve. Due to improper selection of methods, leakage diagnosis or misdiagnosis will usually occur.
Fuhe Yang, Xingquan Shen, Zhijian Wang
doaj +1 more source
Frequency Domain Based Approach for Denoising of Underwater Acoustic Signal Using EMD
Journal of Intelligent Systems, 2013 Underwater communication is usually affected by ambient noise, which may be generated by different sources, such as the wind origin sea-surface sources, ships and under water life.
Veeraiyan Vijayabaskar +2 more
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Spectral Correlation Measure for Selecting Intrinsic Mode Functions [PDF]
, 2014 Time series analysis implies extracting relevant features from real-world applications to improve pattern recognition tasks. In that sense, representation methods based on time series decomposition and similarity measures are combined to select representative features with physical interpretability.
Edgar F. Sierra-Alonso +3 more
openaire +1 more source
Optimal Selection of Intrinsic Mode Functions Applied to Seizure Detection
IngenieríaContext: Epilepsy is a severe chronic neurological disorder with considerable incidence due to recurrent seizures. These seizures can be detected and diagnosed noninvasively using an electroencephalogram.
Luis Daladier Guerrero Otoya +3 more
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On the behavior of EMD and MEMD in presence of symmetric alpha-stable noise [PDF]
, 2014 EmpiricalMode Decomposition (EMD) and its extended versions such as Multivariate EMD (MEMD) are data-driven techniques that represent nonlinear and non-stationary data as a sum of a finite zero-mean AM-FM components referred to as Intrinsic Mode ...
BOUDRAA, Abdel-Ouahab +3 more
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Applied Sciences, 2022 The spectral decomposition is a valuable tool for improving the resolution of seismic interpretation, and thus can improve the accuracy of the subtle geo-features (thin and narrow channels, thin reservoirs, etc.).
Jiaxuan Leng, Zhichao Yu, Chaodong Wu
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Application of the phase difference correct method in rolling bearing fault diagnosis
Journal of Algorithms & Computational Technology, 2017 On the basis of empirical mode decomposition and teager energy operator, the new approach for rolling bearing fault diagnosis based on phase difference correction method is presented. It focuses on improving the identification precision of characteristic
Xinyi Li, Zhijiang Xie, Jiufei Luo
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ELS-Net: A New Approach to Forecast Decomposed Intrinsic Mode Functions of Electricity Load
IEEE Access, 2020 The significance of electricity cannot be overlooked as all fields of life like material production, health care, educational sector, etc., depend upon it to render consistent and high-quality services, increase productivity and business continuity.
Nadeem Javaid +5 more
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