Results 21 to 30 of about 8,950,043 (334)
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 +7 more
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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 +3 more
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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 +3 more
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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 +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 +7 more
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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 +2 more
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Atomic decompositions of audio signals [PDF]
Proceedings of 1997 Workshop on Applications of Signal Processing to Audio and Acoustics, 2002 Signal modeling techniques ranging from basis expansions to parametric approaches have been applied to audio signal processing. Motivated by the fundamental limitations of basis expansions for representing arbitrary signal features and providing means for signal modifications, we consider decompositions in terms of functions that are both signal ...
Goodwin, Michael, Vetterli, Martin
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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 +4 more
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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 +3 more
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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 +5 more
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