Results 11 to 20 of about 136,308 (262)

Photovoltaic Power Quality Analysis Based on the Modulation Broadband Mode Decomposition Algorithm

Energies, 2021
The Broadband Mode Decomposition (BMD) method was previously proposed to solve the Gibbs phenomenon that occurs during photovoltaic signal decomposition; its main idea is to build a dictionary which contains signal features, and to search in the ...
Zucheng Wang, Yanfeng Peng, Yanfei Liu, Yong Guo, Yi Liu, Hongyan Geng, Sai Li, Chao Fan   +7 more
doaj   +1 more source

A Novel Wave Decomposition for Oscillatory Signals [PDF]

IEEE Transactions on Signal Processing, 2021
Oscillatory systems arise in the different science fields. Complex mathematical formulations with differential equations have been proposed to model the dynamics of these systems. While they have the advantage of having a direct physiological meaning, they are not useful in practice as a result of the parameter adjustment complexity and the presence of
Cristina Rueda Sabater, Alejandro Rodríguez-Collado, Yolanda Larriba   +2 more
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Application of Empirical Mode Decomposition and Extreme Learning Machine Algorithms on Prediction of the Surface Vibration Signal

Energies, 2021
Accurately predicting surface vibration signals of diesel engines is the key to evaluating the operation quality of diesel engines. Based on an improved empirical mode decomposition and extreme learning machine algorithm, the characteristics of diesel ...
Yan Shen, Ping Wang, Xuesong Wang, Ke Sun   +3 more
doaj   +1 more source

Contrast of multi‐resolution analysis approach to transhumeral phantom motion decoding

CAAI Transactions on Intelligence Technology, 2021
In signal processing, multiresolution decomposition techniques allow for the separation of an acquired signal into sub levels, where the optimal level within the signal minimises redundancy, uncertainties, and contains the information required for the ...
Ejay Nsugbe, Oluwarotimi William Samuel, Mojisola Grace Asogbon, Guanglin Li   +3 more
doaj   +1 more source

Research on a Noise Reduction Method Based on Multi-Resolution Singular Value Decomposition

Applied Sciences, 2020
Reducing noise pollution in signals is of great significance in the field of signal detection. In order to reduce the noise in the signal and improve the signal-to-noise ratio (SNR), this paper takes the singular value decomposition theory as the ...
Gang Zhang, Benben Xu, Kaoshe Zhang, Jinwang Hou, Tuo Xie, Xin Li, Fuchao Liu   +6 more
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Spectral Decomposition of Signaling Networks [PDF]

2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology, 2007
Many dynamical processes can be represented as directed attributed graphs or Petri nets where relationships between various entities are explicitly expressed. Signaling networks modeled as Petri nets are one class of such graphical modeling and representations. These networks encode how different protein in specific compartments, interact to create new
Parvin, Bahram, Ghosh, Nimu, Heiser, Laura, Knapp, M., Talcott,C., Laderoute, K., Gray, J., Spellman, P.   +7 more
openaire   +2 more sources

Analysis of rock microseismic signal based on blind source wavelet decomposition algorithm

AIP Advances, 2022
At present, microseismic technology is a widely used method for monitoring the rock burst phenomenon during the construction of deep-buried tunnels. The rock fracture in the tunnel will generate seismic waves.
Guili Peng, Dewen Liu, Jing Lu, Tong Shen, Shoubin Wang   +4 more
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Research on a Denoising Method of Vibration Signals Based on IMRSVD and Effective Component Selection

Energies, 2022
This paper proposes a denoising method of vibration signal based on improved multiresolution singular value decomposition (IMRSVD) and effective component selection.
Xihui Chen, Xinhui Shi, Chang Liu, Wei Lou   +3 more
doaj   +1 more source

Application of a flat variational modal decomposition algorithm in fault diagnosis of rolling bearings

Journal of Low Frequency Noise, Vibration and Active Control, 2020
Fault diagnosis of rolling bearings can effectively prevent sudden accidents and is an important factor for the safe operation of mechanical systems.
Haodong Li, Ying Xu, Dong An, Lixiu Zhang, Songhua Li, Huaitao Shi   +5 more
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An Integrated Model of Atom Search Optimization-Based Resonance Sparse Signal Decomposition and Cross-Validation SVM for Gearbox Fault Diagnosis

Shock and Vibration, 2022
In the aspect of gearbox fault diagnosis, the periodic pulse signal containing fault characteristics is often overwhelmed with other strong interference components, which brings a great challenge for gearbox fault detection and status identification.
Fengfeng Bie, Yifan Wu, Ying Zhang, Jian Peng, Hongfei Zhu   +4 more
doaj   +1 more source